{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/rpm47/Dropbox/0001 Academic Projects/Completed/0171 Parasecurity and Education/Replication/LOG Analysis University 2025 09 22.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}22 Sep 2025, 16:31:49
{txt}
{com}. 
. use "${c -(}MyProject{c )-}/University Replication.dta"
{txt}(Data for Degrees of Rivalry (Paul Musgrave, paul.musgrave@gmail.com))

{com}. 
. 
. set scheme cleanplots
{txt}
{com}. 
. 
. * Cleaning
. 
. clonevar prc1_DV_main_trichot = prc1_DV_main
{txt}(1,398 missing values generated)

{com}. recode prc1_DV_main_trichot (1/2= 1) (3=2) (4/5=3)
{txt}(834 changes made to {bf:prc1_DV_main_trichot})

{com}. lab def support3lab 1 "Oppose" 2 "Neither" 3 "Support"
{txt}
{com}. lab val prc1_DV_main_trichot support3lab
{txt}
{com}. 
. 
. clonevar prc2_DV_main_trichot = prc2_DV_main
{txt}(1,429 missing values generated)

{com}. recode prc2_DV_main_trichot (1/2= 1) (3=2) (4/5=3)
{txt}(779 changes made to {bf:prc2_DV_main_trichot})

{com}. lab val prc2_DV_main_trichot support3lab
{txt}
{com}. 
. 
. ********************************************************************************
. * Macros
. ********************************************************************************
. 
. local demographics c.age##c.age female white hispanic college i.pid3alt
{txt}
{com}. 
. local technical i.mobile 
{txt}
{com}. 
. 
. ********************************************************************************
. * Trust Analysis
. ********************************************************************************
. 
. * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * 
. * Create New Variables
. * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * 
. 
. 
. * Gen state control variable; set to 1 (for mixed), 0 (for D trifecta), or 2 
. * (for R trifecta) depending on state government (leg + gov) control as of 
. * survey date
. 
. gen state_control = .
{txt}(2,418 missing values generated)

{com}. 
. replace state_control = 1 if inlist(state, "AK","AZ","KS","KY","LA","NV","NC")
{txt}(285 real changes made)

{com}. replace state_control = 1 if inlist(state, "PA","VT","VA","WI")
{txt}(218 real changes made)

{com}. replace state_control = 0 if inlist(state, "WA","RI","OR","NY","NM","NJ","MA")
{txt}(396 real changes made)

{com}. replace state_control = 0 if inlist(state, "MD","ME","IL","HI","DE","CT","CO")
{txt}(218 real changes made)

{com}. replace state_control = 0 if inlist(state, "CA", "MI","MN","DC")
{txt}(358 real changes made)

{com}. replace state_control = 2 if inlist(state, "AL","AR","FL","GA","ID","IN","IA")
{txt}(375 real changes made)

{com}. replace state_control = 2 if inlist(state, "MS","MO","MT","NE","NH","ND","OH")
{txt}(191 real changes made)

{com}. replace state_control = 2 if inlist(state, "OK","SC","SD","TN","TX","UT","WV",  ///
>                                                                                         "WY")
{txt}(328 real changes made)

{com}.                                                                                         
. lab def statecontrollab 0 "Dem" 1 "Mixed" 2 "GOP"
{txt}
{com}. lab val state_control statecontrollab
{txt}
{com}. lab var state_control "State Government Control"
{txt}
{com}. 
. * Gen a variable to indicate if there is a partisan match between respondent and
. * party control
. 
. gen state_control_match = .
{txt}(2,418 missing values generated)

{com}. replace state_control_match = 1 if state_control == pid3alt
{txt}(937 real changes made)

{com}. replace state_control_match = 0 if state_control != pid3alt
{txt}(1,481 real changes made)

{com}. lab var state_control_match "State Partisan Congruence"
{txt}
{com}. 
. * create an indicator for states with fewer than 15 respondents (< 5% total of sample)
. 
. gen small_state = 0
{txt}
{com}. replace small_state = 1 if inlist(state,"ND","SD","MT","ME","ID","VT","RI","NE")
{txt}(43 real changes made)

{com}. replace small_state = 1 if inlist(state,"HI","NH","DE","DC","IA")
{txt}(60 real changes made)

{com}. 
. * Create a numeric state variable to provide state controls
. 
. encode state, gen(state_num)
{txt}
{com}. 
. 
. * Create an indicator for whether respondent trusts states or feds more
. 
. gen trust_fed_more = .
{txt}(2,418 missing values generated)

{com}. replace trust_fed_more = 2 if trust_fed_num > trust_state_num & trust_fed_num != .
{txt}(193 real changes made)

{com}. replace trust_fed_more = 1 if trust_fed_num == trust_state_num & trust_fed_num != .
{txt}(1,258 real changes made)

{com}. replace trust_fed_more = 0 if trust_fed_num < trust_state_num & trust_fed_num != .
{txt}(544 real changes made)

{com}. 
. lab def trustmorelab 2 "Trust Fed More" 1 "Trust Equally" 0 "Trust State More"
{txt}
{com}. lab var trust_fed_more "Relative Trust in Govt Level"
{txt}
{com}. lab val trust_fed_more trustmorelab
{txt}
{com}. 
. * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * 
. * Summary
. * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * 
. 
. dtable i.trust_fed_more, by(pid3alt)
{res}
{smcl}
{reset}{...}
{hline 28}{c -}{hline 11}{c -}{hline 11}{c -}{hline 11}{c -}{hline 14}
{space 28} {space 9}Party ID (3-value, incl leaners){space 9}
{space 28} {space 2}Democrat{space 1} Independent {space 1}Republican {space 5}Total{space 4}
{hline 28}{c -}{hline 11}{c -}{hline 11}{c -}{hline 11}{c -}{hline 14}
N{space 27} {result:998 (46.9%)} {result:246 (11.6%)} {result:884 (41.5%)} {result:2,128 (100.0%)}
Relative Trust in Govt Level {space 11} {space 11} {space 11} {space 14}
  Trust State More{space 10} {result:203 (22.5%)} {space 1}{result:43 (18.0%)} {result:298 (34.9%)} {space 3}{result:544 (27.3%)}
  Trust Equally{space 13} {result:586 (65.0%)} {result:176 (73.6%)} {result:496 (58.1%)} {space 1}{result:1,258 (63.1%)}
  Trust Fed More{space 12} {result:113 (12.5%)} {space 2}{result:20 (8.4%)} {space 2}{result:60 (7.0%)} {space 4}{result:193 (9.7%)}
{hline 28}{c -}{hline 11}{c -}{hline 11}{c -}{hline 11}{c -}{hline 14}

{com}. 
. 
. 
. * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * 
. * Modeling
. * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * 
. 
. // hhi_num_alt is not a significant predictor throughout //
. 
. * Modeling trust in the federal government
. 
. mlogit trust_fed_num i.pid3alt i.trust_nondiff  c.age##c.age college female white hispanic

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-1919.0523}  
Iteration 1:{space 2}Log likelihood = {res:-1804.8758}  
Iteration 2:{space 2}Log likelihood = {res:-1803.1137}  
Iteration 3:{space 2}Log likelihood = {res:-1803.1079}  
Iteration 4:{space 2}Log likelihood = {res:-1803.1079}  
{res}
{txt}{col 1}Multinomial logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:1,968}
{txt}{col 57}{lalign 13:LR chi2({res:18})}{col 70} = {res}{ralign 6:231.89}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-1803.1079}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0604}

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} trust_fed_num{col 16}{c |} Coefficient{col 28}  Std. err.{col 40}      z{col 48}   P>|z|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}None_at_all    {txt}{c |}
{space 7}pid3alt {c |}
{space 2}Independent  {c |}{col 16}{res}{space 2} .8966176{col 28}{space 2} .1609015{col 39}{space 1}    5.57{col 48}{space 3}0.000{col 56}{space 4} .5812564{col 69}{space 3} 1.211979
{txt}{space 3}Republican  {c |}{col 16}{res}{space 2} 1.095819{col 28}{space 2} .1145667{col 39}{space 1}    9.56{col 48}{space 3}0.000{col 56}{space 4} .8712722{col 69}{space 3} 1.320365
{txt}{space 14} {c |}
{space 1}trust_nondiff {c |}
Straightlined  {c |}{col 16}{res}{space 2}-.8014523{col 28}{space 2} .1158998{col 39}{space 1}   -6.92{col 48}{space 3}0.000{col 56}{space 4}-1.028612{col 69}{space 3}-.5742928
{txt}{space 11}age {c |}{col 16}{res}{space 2}-.0098245{col 28}{space 2} .0182199{col 39}{space 1}   -0.54{col 48}{space 3}0.590{col 56}{space 4}-.0455348{col 69}{space 3} .0258859
{txt}{space 14} {c |}
{space 3}c.age#c.age {c |}{col 16}{res}{space 2} .0000566{col 28}{space 2} .0001889{col 39}{space 1}    0.30{col 48}{space 3}0.764{col 56}{space 4}-.0003136{col 69}{space 3} .0004268
{txt}{space 14} {c |}
{space 7}college {c |}{col 16}{res}{space 2}-.3597812{col 28}{space 2} .1090511{col 39}{space 1}   -3.30{col 48}{space 3}0.001{col 56}{space 4}-.5735175{col 69}{space 3} -.146045
{txt}{space 8}female {c |}{col 16}{res}{space 2}-.0572844{col 28}{space 2} .1029175{col 39}{space 1}   -0.56{col 48}{space 3}0.578{col 56}{space 4} -.258999{col 69}{space 3} .1444302
{txt}{space 9}white {c |}{col 16}{res}{space 2} .0687756{col 28}{space 2} .1262265{col 39}{space 1}    0.54{col 48}{space 3}0.586{col 56}{space 4}-.1786239{col 69}{space 3} .3161751
{txt}{space 6}hispanic {c |}{col 16}{res}{space 2}-.1664936{col 28}{space 2} .1500773{col 39}{space 1}   -1.11{col 48}{space 3}0.267{col 56}{space 4}-.4606397{col 69}{space 3} .1276524
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-.2330824{col 28}{space 2} .4062089{col 39}{space 1}   -0.57{col 48}{space 3}0.566{col 56}{space 4}-1.029237{col 69}{space 3} .5630725
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}A_little      {col 16}{txt}{c |}  (base outcome)
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}A_lot          {txt}{c |}
{space 7}pid3alt {c |}
{space 2}Independent  {c |}{col 16}{res}{space 2} -.821542{col 28}{space 2} .3206543{col 39}{space 1}   -2.56{col 48}{space 3}0.010{col 56}{space 4}-1.450013{col 69}{space 3} -.193071
{txt}{space 3}Republican  {c |}{col 16}{res}{space 2} .2860245{col 28}{space 2} .1545015{col 39}{space 1}    1.85{col 48}{space 3}0.064{col 56}{space 4}-.0167928{col 69}{space 3} .5888418
{txt}{space 14} {c |}
{space 1}trust_nondiff {c |}
Straightlined  {c |}{col 16}{res}{space 2}-.0429603{col 28}{space 2} .1506117{col 39}{space 1}   -0.29{col 48}{space 3}0.775{col 56}{space 4}-.3381538{col 69}{space 3} .2522332
{txt}{space 11}age {c |}{col 16}{res}{space 2} .0063098{col 28}{space 2} .0266173{col 39}{space 1}    0.24{col 48}{space 3}0.813{col 56}{space 4}-.0458591{col 69}{space 3} .0584788
{txt}{space 14} {c |}
{space 3}c.age#c.age {c |}{col 16}{res}{space 2}-.0001589{col 28}{space 2}  .000282{col 39}{space 1}   -0.56{col 48}{space 3}0.573{col 56}{space 4}-.0007116{col 69}{space 3} .0003937
{txt}{space 14} {c |}
{space 7}college {c |}{col 16}{res}{space 2} .2212926{col 28}{space 2} .1463396{col 39}{space 1}    1.51{col 48}{space 3}0.130{col 56}{space 4}-.0655277{col 69}{space 3} .5081129
{txt}{space 8}female {c |}{col 16}{res}{space 2}-.4723508{col 28}{space 2} .1470251{col 39}{space 1}   -3.21{col 48}{space 3}0.001{col 56}{space 4}-.7605148{col 69}{space 3}-.1841868
{txt}{space 9}white {c |}{col 16}{res}{space 2}-.1599347{col 28}{space 2} .1651318{col 39}{space 1}   -0.97{col 48}{space 3}0.333{col 56}{space 4}-.4835871{col 69}{space 3} .1637176
{txt}{space 6}hispanic {c |}{col 16}{res}{space 2} .3751779{col 28}{space 2} .1817961{col 39}{space 1}    2.06{col 48}{space 3}0.039{col 56}{space 4} .0188641{col 69}{space 3} .7314917
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-1.166264{col 28}{space 2} .5792502{col 39}{space 1}   -2.01{col 48}{space 3}0.044{col 56}{space 4}-2.301574{col 69}{space 3}-.0309545
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto m_trust_fed
{txt}
{com}. 
. mlogit trust_fed_num i.pid3alt##state_control_match i.trust_nondiff  c.age##c.age college female white hispanic

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-1919.0523}  
Iteration 1:{space 2}Log likelihood = {res:-1803.2833}  
Iteration 2:{space 2}Log likelihood = {res:-1801.4927}  
Iteration 3:{space 2}Log likelihood = {res:-1801.4861}  
Iteration 4:{space 2}Log likelihood = {res:-1801.4861}  
{res}
{txt}{col 1}Multinomial logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:1,968}
{txt}{col 57}{lalign 13:LR chi2({res:24})}{col 70} = {res}{ralign 6:235.13}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-1801.4861}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0613}

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}              trust_fed_num{col 29}{c |} Coefficient{col 41}  Std. err.{col 53}      z{col 61}   P>|z|{col 69}     [95% con{col 82}f. interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}None_at_all                 {txt}{c |}
{space 20}pid3alt {c |}
{space 15}Independent  {c |}{col 29}{res}{space 2} .7952085{col 41}{space 2} .1894133{col 52}{space 1}    4.20{col 61}{space 3}0.000{col 69}{space 4} .4239652{col 82}{space 3} 1.166452
{txt}{space 16}Republican  {c |}{col 29}{res}{space 2} 1.058328{col 41}{space 2}  .150688{col 52}{space 1}    7.02{col 61}{space 3}0.000{col 69}{space 4} .7629851{col 82}{space 3} 1.353671
{txt}{space 27} {c |}
{space 6}1.state_control_match {c |}{col 29}{res}{space 2}-.1847521{col 41}{space 2} .1658425{col 52}{space 1}   -1.11{col 61}{space 3}0.265{col 69}{space 4}-.5097974{col 82}{space 3} .1402931
{txt}{space 27} {c |}
pid3alt#state_control_match {c |}
{space 13}Independent#1  {c |}{col 29}{res}{space 2} .2797363{col 41}{space 2} .3818772{col 52}{space 1}    0.73{col 61}{space 3}0.464{col 69}{space 4}-.4687291{col 82}{space 3} 1.028202
{txt}{space 14}Republican#1  {c |}{col 29}{res}{space 2}  .082964{col 41}{space 2} .2256773{col 52}{space 1}    0.37{col 61}{space 3}0.713{col 69}{space 4}-.3593554{col 82}{space 3} .5252834
{txt}{space 27} {c |}
{space 14}trust_nondiff {c |}
{space 13}Straightlined  {c |}{col 29}{res}{space 2}-.8044854{col 41}{space 2} .1160106{col 52}{space 1}   -6.93{col 61}{space 3}0.000{col 69}{space 4}-1.031862{col 82}{space 3}-.5771089
{txt}{space 24}age {c |}{col 29}{res}{space 2}-.0098639{col 41}{space 2}  .018231{col 52}{space 1}   -0.54{col 61}{space 3}0.588{col 69}{space 4} -.045596{col 82}{space 3} .0258681
{txt}{space 27} {c |}
{space 16}c.age#c.age {c |}{col 29}{res}{space 2} .0000565{col 41}{space 2}  .000189{col 52}{space 1}    0.30{col 61}{space 3}0.765{col 69}{space 4} -.000314{col 82}{space 3} .0004269
{txt}{space 27} {c |}
{space 20}college {c |}{col 29}{res}{space 2}-.3620565{col 41}{space 2} .1094334{col 52}{space 1}   -3.31{col 61}{space 3}0.001{col 69}{space 4}-.5765421{col 82}{space 3}-.1475709
{txt}{space 21}female {c |}{col 29}{res}{space 2}-.0627449{col 41}{space 2} .1034906{col 52}{space 1}   -0.61{col 61}{space 3}0.544{col 69}{space 4}-.2655829{col 82}{space 3}  .140093
{txt}{space 22}white {c |}{col 29}{res}{space 2} .0685073{col 41}{space 2} .1265915{col 52}{space 1}    0.54{col 61}{space 3}0.588{col 69}{space 4}-.1796076{col 82}{space 3} .3166221
{txt}{space 19}hispanic {c |}{col 29}{res}{space 2}-.1660978{col 41}{space 2} .1501519{col 52}{space 1}   -1.11{col 61}{space 3}0.269{col 69}{space 4}-.4603901{col 82}{space 3} .1281945
{txt}{space 22}_cons {c |}{col 29}{res}{space 2}-.1437581{col 41}{space 2} .4153786{col 52}{space 1}   -0.35{col 61}{space 3}0.729{col 69}{space 4}-.9578852{col 82}{space 3}  .670369
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}A_little                   {col 29}{txt}{c |}  (base outcome)
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}A_lot                       {txt}{c |}
{space 20}pid3alt {c |}
{space 15}Independent  {c |}{col 29}{res}{space 2}-.7999676{col 41}{space 2} .3613858{col 52}{space 1}   -2.21{col 61}{space 3}0.027{col 69}{space 4}-1.508271{col 82}{space 3}-.0916644
{txt}{space 16}Republican  {c |}{col 29}{res}{space 2}  .402977{col 41}{space 2}  .200545{col 52}{space 1}    2.01{col 61}{space 3}0.044{col 69}{space 4} .0099159{col 82}{space 3} .7960381
{txt}{space 27} {c |}
{space 6}1.state_control_match {c |}{col 29}{res}{space 2}-.0111116{col 41}{space 2} .1956701{col 52}{space 1}   -0.06{col 61}{space 3}0.955{col 69}{space 4}-.3946179{col 82}{space 3} .3723947
{txt}{space 27} {c |}
pid3alt#state_control_match {c |}
{space 13}Independent#1  {c |}{col 29}{res}{space 2} -.137498{col 41}{space 2} .8365775{col 52}{space 1}   -0.16{col 61}{space 3}0.869{col 69}{space 4} -1.77716{col 82}{space 3} 1.502164
{txt}{space 14}Republican#1  {c |}{col 29}{res}{space 2}-.3011106{col 41}{space 2} .3088175{col 52}{space 1}   -0.98{col 61}{space 3}0.330{col 69}{space 4}-.9063818{col 82}{space 3} .3041605
{txt}{space 27} {c |}
{space 14}trust_nondiff {c |}
{space 13}Straightlined  {c |}{col 29}{res}{space 2}-.0472784{col 41}{space 2} .1507726{col 52}{space 1}   -0.31{col 61}{space 3}0.754{col 69}{space 4}-.3427873{col 82}{space 3} .2482305
{txt}{space 24}age {c |}{col 29}{res}{space 2} .0068292{col 41}{space 2} .0266215{col 52}{space 1}    0.26{col 61}{space 3}0.798{col 69}{space 4}-.0453479{col 82}{space 3} .0590064
{txt}{space 27} {c |}
{space 16}c.age#c.age {c |}{col 29}{res}{space 2}-.0001625{col 41}{space 2}  .000282{col 52}{space 1}   -0.58{col 61}{space 3}0.565{col 69}{space 4}-.0007151{col 82}{space 3} .0003902
{txt}{space 27} {c |}
{space 20}college {c |}{col 29}{res}{space 2} .2121027{col 41}{space 2}  .146678{col 52}{space 1}    1.45{col 61}{space 3}0.148{col 69}{space 4} -.075381{col 82}{space 3} .4995864
{txt}{space 21}female {c |}{col 29}{res}{space 2}-.4610405{col 41}{space 2} .1477464{col 52}{space 1}   -3.12{col 61}{space 3}0.002{col 69}{space 4}-.7506181{col 82}{space 3}-.1714629
{txt}{space 22}white {c |}{col 29}{res}{space 2}-.1512011{col 41}{space 2} .1655723{col 52}{space 1}   -0.91{col 61}{space 3}0.361{col 69}{space 4}-.4757168{col 82}{space 3} .1733146
{txt}{space 19}hispanic {c |}{col 29}{res}{space 2} .3711777{col 41}{space 2} .1819399{col 52}{space 1}    2.04{col 61}{space 3}0.041{col 69}{space 4}  .014582{col 82}{space 3} .7277733
{txt}{space 22}_cons {c |}{col 29}{res}{space 2}-1.179898{col 41}{space 2} .5886302{col 52}{space 1}   -2.00{col 61}{space 3}0.045{col 69}{space 4}-2.333592{col 82}{space 3}-.0262041
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. mlogit trust_fed_num i.pid3alt##state_control_match i.trust_nondiff  c.age##c.age college female white hispanic i.state_num if small_state == 0

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-1829.3415}  
Iteration 1:{space 2}Log likelihood = {res:-1687.6374}  
Iteration 2:{space 2}Log likelihood = {res:-1682.1421}  
Iteration 3:{space 2}Log likelihood = {res:-1681.8025}  
Iteration 4:{space 2}Log likelihood = {res:-1681.7396}  
Iteration 5:{space 2}Log likelihood = {res:-1681.7258}  
Iteration 6:{space 2}Log likelihood = {res:-1681.7226}  
Iteration 7:{space 2}Log likelihood = {res:-1681.7218}  
Iteration 8:{space 2}Log likelihood = {res:-1681.7217}  
Iteration 9:{space 2}Log likelihood = {res:-1681.7216}  
{res}
{txt}{col 1}Multinomial logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:1,879}
{txt}{col 57}{lalign 13:LR chi2({res:94})}{col 70} = {res}{ralign 6:295.24}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-1681.7216}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0807}

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}              trust_fed_num{col 29}{c |} Coefficient{col 41}  Std. err.{col 53}      z{col 61}   P>|z|{col 69}     [95% con{col 82}f. interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}None_at_all                 {txt}{c |}
{space 20}pid3alt {c |}
{space 15}Independent  {c |}{col 29}{res}{space 2} .6392717{col 41}{space 2} .2172868{col 52}{space 1}    2.94{col 61}{space 3}0.003{col 69}{space 4} .2133975{col 82}{space 3} 1.065146
{txt}{space 16}Republican  {c |}{col 29}{res}{space 2} .9587207{col 41}{space 2} .2090555{col 52}{space 1}    4.59{col 61}{space 3}0.000{col 69}{space 4} .5489794{col 82}{space 3} 1.368462
{txt}{space 27} {c |}
{space 6}1.state_control_match {c |}{col 29}{res}{space 2}-.4088104{col 41}{space 2}  .256048{col 52}{space 1}   -1.60{col 61}{space 3}0.110{col 69}{space 4}-.9106552{col 82}{space 3} .0930344
{txt}{space 27} {c |}
pid3alt#state_control_match {c |}
{space 13}Independent#1  {c |}{col 29}{res}{space 2} .8368296{col 41}{space 2} .4809647{col 52}{space 1}    1.74{col 61}{space 3}0.082{col 69}{space 4}-.1058439{col 82}{space 3} 1.779503
{txt}{space 14}Republican#1  {c |}{col 29}{res}{space 2} .3624974{col 41}{space 2} .4326838{col 52}{space 1}    0.84{col 61}{space 3}0.402{col 69}{space 4}-.4855472{col 82}{space 3} 1.210542
{txt}{space 27} {c |}
{space 14}trust_nondiff {c |}
{space 13}Straightlined  {c |}{col 29}{res}{space 2}-.8509194{col 41}{space 2}   .12169{col 52}{space 1}   -6.99{col 61}{space 3}0.000{col 69}{space 4}-1.089427{col 82}{space 3}-.6124114
{txt}{space 24}age {c |}{col 29}{res}{space 2}-.0042269{col 41}{space 2} .0188895{col 52}{space 1}   -0.22{col 61}{space 3}0.823{col 69}{space 4}-.0412496{col 82}{space 3} .0327958
{txt}{space 27} {c |}
{space 16}c.age#c.age {c |}{col 29}{res}{space 2} 1.57e-06{col 41}{space 2} .0001961{col 52}{space 1}    0.01{col 61}{space 3}0.994{col 69}{space 4}-.0003828{col 82}{space 3} .0003859
{txt}{space 27} {c |}
{space 20}college {c |}{col 29}{res}{space 2}-.3518204{col 41}{space 2} .1138959{col 52}{space 1}   -3.09{col 61}{space 3}0.002{col 69}{space 4}-.5750522{col 82}{space 3}-.1285886
{txt}{space 21}female {c |}{col 29}{res}{space 2}-.0079309{col 41}{space 2} .1080988{col 52}{space 1}   -0.07{col 61}{space 3}0.942{col 69}{space 4}-.2198007{col 82}{space 3} .2039388
{txt}{space 22}white {c |}{col 29}{res}{space 2} .0665004{col 41}{space 2} .1335706{col 52}{space 1}    0.50{col 61}{space 3}0.619{col 69}{space 4}-.1952931{col 82}{space 3} .3282939
{txt}{space 19}hispanic {c |}{col 29}{res}{space 2}-.1102624{col 41}{space 2} .1582066{col 52}{space 1}   -0.70{col 61}{space 3}0.486{col 69}{space 4}-.4203416{col 82}{space 3} .1998169
{txt}{space 27} {c |}
{space 18}state_num {c |}
{space 24}AR  {c |}{col 29}{res}{space 2} .1269867{col 41}{space 2} .6803706{col 52}{space 1}    0.19{col 61}{space 3}0.852{col 69}{space 4}-1.206515{col 82}{space 3} 1.460489
{txt}{space 24}AZ  {c |}{col 29}{res}{space 2} .2725671{col 41}{space 2} .5651874{col 52}{space 1}    0.48{col 61}{space 3}0.630{col 69}{space 4}-.8351798{col 82}{space 3} 1.380314
{txt}{space 24}CA  {c |}{col 29}{res}{space 2}  .466473{col 41}{space 2} .5050574{col 52}{space 1}    0.92{col 61}{space 3}0.356{col 69}{space 4}-.5234213{col 82}{space 3} 1.456367
{txt}{space 24}CO  {c |}{col 29}{res}{space 2} .5412587{col 41}{space 2} .6406845{col 52}{space 1}    0.84{col 61}{space 3}0.398{col 69}{space 4}-.7144599{col 82}{space 3} 1.796977
{txt}{space 24}CT  {c |}{col 29}{res}{space 2} .5849912{col 41}{space 2} .6717719{col 52}{space 1}    0.87{col 61}{space 3}0.384{col 69}{space 4}-.7316576{col 82}{space 3}  1.90164
{txt}{space 24}FL  {c |}{col 29}{res}{space 2} .2754147{col 41}{space 2} .4755401{col 52}{space 1}    0.58{col 61}{space 3}0.562{col 69}{space 4}-.6566268{col 82}{space 3} 1.207456
{txt}{space 24}GA  {c |}{col 29}{res}{space 2}  .722045{col 41}{space 2} .5021512{col 52}{space 1}    1.44{col 61}{space 3}0.150{col 69}{space 4}-.2621532{col 82}{space 3} 1.706243
{txt}{space 24}IL  {c |}{col 29}{res}{space 2} .4138889{col 41}{space 2} .5397185{col 52}{space 1}    0.77{col 61}{space 3}0.443{col 69}{space 4}  -.64394{col 82}{space 3} 1.471718
{txt}{space 24}IN  {c |}{col 29}{res}{space 2}-.1125881{col 41}{space 2} .6271075{col 52}{space 1}   -0.18{col 61}{space 3}0.858{col 69}{space 4}-1.341696{col 82}{space 3}  1.11652
{txt}{space 24}KS  {c |}{col 29}{res}{space 2} .3791401{col 41}{space 2} .6176927{col 52}{space 1}    0.61{col 61}{space 3}0.539{col 69}{space 4}-.8315154{col 82}{space 3} 1.589796
{txt}{space 24}KY  {c |}{col 29}{res}{space 2}-.2633815{col 41}{space 2} .6120582{col 52}{space 1}   -0.43{col 61}{space 3}0.667{col 69}{space 4}-1.462994{col 82}{space 3} .9362306
{txt}{space 24}LA  {c |}{col 29}{res}{space 2} .3412846{col 41}{space 2} .6335019{col 52}{space 1}    0.54{col 61}{space 3}0.590{col 69}{space 4}-.9003564{col 82}{space 3} 1.582926
{txt}{space 24}MA  {c |}{col 29}{res}{space 2}  1.07901{col 41}{space 2} .6688966{col 52}{space 1}    1.61{col 61}{space 3}0.107{col 69}{space 4} -.232003{col 82}{space 3} 2.390024
{txt}{space 24}MD  {c |}{col 29}{res}{space 2} .6905533{col 41}{space 2} .6546581{col 52}{space 1}    1.05{col 61}{space 3}0.292{col 69}{space 4}-.5925529{col 82}{space 3}  1.97366
{txt}{space 24}MI  {c |}{col 29}{res}{space 2} .3665185{col 41}{space 2} .5676188{col 52}{space 1}    0.65{col 61}{space 3}0.518{col 69}{space 4}-.7459939{col 82}{space 3} 1.479031
{txt}{space 24}MN  {c |}{col 29}{res}{space 2} .7733733{col 41}{space 2} .6508461{col 52}{space 1}    1.19{col 61}{space 3}0.235{col 69}{space 4}-.5022617{col 82}{space 3} 2.049008
{txt}{space 24}MO  {c |}{col 29}{res}{space 2} .8053521{col 41}{space 2}  .548899{col 52}{space 1}    1.47{col 61}{space 3}0.142{col 69}{space 4}-.2704701{col 82}{space 3} 1.881174
{txt}{space 24}MS  {c |}{col 29}{res}{space 2} 1.241888{col 41}{space 2} .6619212{col 52}{space 1}    1.88{col 61}{space 3}0.061{col 69}{space 4}-.0554536{col 82}{space 3}  2.53923
{txt}{space 24}NC  {c |}{col 29}{res}{space 2} .3867363{col 41}{space 2} .5308679{col 52}{space 1}    0.73{col 61}{space 3}0.466{col 69}{space 4}-.6537457{col 82}{space 3} 1.427218
{txt}{space 24}NJ  {c |}{col 29}{res}{space 2} .5312862{col 41}{space 2} .5839298{col 52}{space 1}    0.91{col 61}{space 3}0.363{col 69}{space 4}-.6131952{col 82}{space 3} 1.675768
{txt}{space 24}NM  {c |}{col 29}{res}{space 2} .2229952{col 41}{space 2} .7574652{col 52}{space 1}    0.29{col 61}{space 3}0.768{col 69}{space 4}-1.261609{col 82}{space 3}   1.7076
{txt}{space 24}NV  {c |}{col 29}{res}{space 2} .1650669{col 41}{space 2}  .602035{col 52}{space 1}    0.27{col 61}{space 3}0.784{col 69}{space 4}  -1.0149{col 82}{space 3} 1.345034
{txt}{space 24}NY  {c |}{col 29}{res}{space 2} .7130854{col 41}{space 2} .5150979{col 52}{space 1}    1.38{col 61}{space 3}0.166{col 69}{space 4}-.2964879{col 82}{space 3} 1.722659
{txt}{space 24}OH  {c |}{col 29}{res}{space 2} .6756381{col 41}{space 2}  .503352{col 52}{space 1}    1.34{col 61}{space 3}0.180{col 69}{space 4}-.3109137{col 82}{space 3}  1.66219
{txt}{space 24}OK  {c |}{col 29}{res}{space 2} .0794141{col 41}{space 2} .6175989{col 52}{space 1}    0.13{col 61}{space 3}0.898{col 69}{space 4}-1.131057{col 82}{space 3} 1.289886
{txt}{space 24}OR  {c |}{col 29}{res}{space 2} .0600066{col 41}{space 2} .6026807{col 52}{space 1}    0.10{col 61}{space 3}0.921{col 69}{space 4}-1.121226{col 82}{space 3} 1.241239
{txt}{space 24}PA  {c |}{col 29}{res}{space 2} .4315366{col 41}{space 2} .5263547{col 52}{space 1}    0.82{col 61}{space 3}0.412{col 69}{space 4}-.6000997{col 82}{space 3} 1.463173
{txt}{space 24}SC  {c |}{col 29}{res}{space 2} .5448602{col 41}{space 2} .6302696{col 52}{space 1}    0.86{col 61}{space 3}0.387{col 69}{space 4}-.6904454{col 82}{space 3} 1.780166
{txt}{space 24}TN  {c |}{col 29}{res}{space 2} .7810203{col 41}{space 2} .5697828{col 52}{space 1}    1.37{col 61}{space 3}0.170{col 69}{space 4}-.3357334{col 82}{space 3} 1.897774
{txt}{space 24}TX  {c |}{col 29}{res}{space 2} .2326044{col 41}{space 2} .4742244{col 52}{space 1}    0.49{col 61}{space 3}0.624{col 69}{space 4}-.6968584{col 82}{space 3} 1.162067
{txt}{space 24}UT  {c |}{col 29}{res}{space 2}  .258489{col 41}{space 2} .6571969{col 52}{space 1}    0.39{col 61}{space 3}0.694{col 69}{space 4}-1.029593{col 82}{space 3} 1.546571
{txt}{space 24}VA  {c |}{col 29}{res}{space 2}-.0640305{col 41}{space 2} .5690653{col 52}{space 1}   -0.11{col 61}{space 3}0.910{col 69}{space 4}-1.179378{col 82}{space 3} 1.051317
{txt}{space 24}WA  {c |}{col 29}{res}{space 2} 1.012532{col 41}{space 2} .5755976{col 52}{space 1}    1.76{col 61}{space 3}0.079{col 69}{space 4}-.1156183{col 82}{space 3} 2.140683
{txt}{space 24}WI  {c |}{col 29}{res}{space 2} .5966878{col 41}{space 2} .6054276{col 52}{space 1}    0.99{col 61}{space 3}0.324{col 69}{space 4}-.5899285{col 82}{space 3} 1.783304
{txt}{space 24}WV  {c |}{col 29}{res}{space 2} .4109524{col 41}{space 2} .7647866{col 52}{space 1}    0.54{col 61}{space 3}0.591{col 69}{space 4}-1.088002{col 82}{space 3} 1.909907
{txt}{space 27} {c |}
{space 22}_cons {c |}{col 29}{res}{space 2}-.6506762{col 41}{space 2} .6153282{col 52}{space 1}   -1.06{col 61}{space 3}0.290{col 69}{space 4}-1.856697{col 82}{space 3} .5553448
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}A_little                   {col 29}{txt}{c |}  (base outcome)
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}A_lot                       {txt}{c |}
{space 20}pid3alt {c |}
{space 15}Independent  {c |}{col 29}{res}{space 2}-.9381613{col 41}{space 2} .4099914{col 52}{space 1}   -2.29{col 61}{space 3}0.022{col 69}{space 4} -1.74173{col 82}{space 3}-.1345929
{txt}{space 16}Republican  {c |}{col 29}{res}{space 2} .3057206{col 41}{space 2} .3019392{col 52}{space 1}    1.01{col 61}{space 3}0.311{col 69}{space 4}-.2860695{col 82}{space 3} .8975106
{txt}{space 27} {c |}
{space 6}1.state_control_match {c |}{col 29}{res}{space 2} -.125583{col 41}{space 2} .3686468{col 52}{space 1}   -0.34{col 61}{space 3}0.733{col 69}{space 4}-.8481175{col 82}{space 3} .5969514
{txt}{space 27} {c |}
pid3alt#state_control_match {c |}
{space 13}Independent#1  {c |}{col 29}{res}{space 2} .2359829{col 41}{space 2} .9565036{col 52}{space 1}    0.25{col 61}{space 3}0.805{col 69}{space 4} -1.63873{col 82}{space 3} 2.110696
{txt}{space 14}Republican#1  {c |}{col 29}{res}{space 2}-.0783967{col 41}{space 2}  .660987{col 52}{space 1}   -0.12{col 61}{space 3}0.906{col 69}{space 4}-1.373907{col 82}{space 3} 1.217114
{txt}{space 27} {c |}
{space 14}trust_nondiff {c |}
{space 13}Straightlined  {c |}{col 29}{res}{space 2}-.1106953{col 41}{space 2} .1604105{col 52}{space 1}   -0.69{col 61}{space 3}0.490{col 69}{space 4}-.4250941{col 82}{space 3} .2037035
{txt}{space 24}age {c |}{col 29}{res}{space 2}  .007825{col 41}{space 2} .0280339{col 52}{space 1}    0.28{col 61}{space 3}0.780{col 69}{space 4}-.0471204{col 82}{space 3} .0627705
{txt}{space 27} {c |}
{space 16}c.age#c.age {c |}{col 29}{res}{space 2}-.0001462{col 41}{space 2} .0002957{col 52}{space 1}   -0.49{col 61}{space 3}0.621{col 69}{space 4}-.0007257{col 82}{space 3} .0004333
{txt}{space 27} {c |}
{space 20}college {c |}{col 29}{res}{space 2} .1688072{col 41}{space 2} .1552422{col 52}{space 1}    1.09{col 61}{space 3}0.277{col 69}{space 4} -.135462{col 82}{space 3} .4730763
{txt}{space 21}female {c |}{col 29}{res}{space 2}-.4008767{col 41}{space 2} .1552411{col 52}{space 1}   -2.58{col 61}{space 3}0.010{col 69}{space 4}-.7051437{col 82}{space 3}-.0966096
{txt}{space 22}white {c |}{col 29}{res}{space 2}-.2395498{col 41}{space 2} .1748868{col 52}{space 1}   -1.37{col 61}{space 3}0.171{col 69}{space 4}-.5823216{col 82}{space 3}  .103222
{txt}{space 19}hispanic {c |}{col 29}{res}{space 2} .3748883{col 41}{space 2} .1955455{col 52}{space 1}    1.92{col 61}{space 3}0.055{col 69}{space 4}-.0083739{col 82}{space 3} .7581505
{txt}{space 27} {c |}
{space 18}state_num {c |}
{space 24}AR  {c |}{col 29}{res}{space 2} .2113801{col 41}{space 2} 1.483717{col 52}{space 1}    0.14{col 61}{space 3}0.887{col 69}{space 4}-2.696653{col 82}{space 3} 3.119413
{txt}{space 24}AZ  {c |}{col 29}{res}{space 2}  .398711{col 41}{space 2}  1.22106{col 52}{space 1}    0.33{col 61}{space 3}0.744{col 69}{space 4}-1.994522{col 82}{space 3} 2.791944
{txt}{space 24}CA  {c |}{col 29}{res}{space 2} 1.320762{col 41}{space 2} 1.104655{col 52}{space 1}    1.20{col 61}{space 3}0.232{col 69}{space 4}-.8443223{col 82}{space 3} 3.485846
{txt}{space 24}CO  {c |}{col 29}{res}{space 2} .4906274{col 41}{space 2} 1.322336{col 52}{space 1}    0.37{col 61}{space 3}0.711{col 69}{space 4}-2.101104{col 82}{space 3} 3.082359
{txt}{space 24}CT  {c |}{col 29}{res}{space 2} .2522925{col 41}{space 2} 1.510571{col 52}{space 1}    0.17{col 61}{space 3}0.867{col 69}{space 4}-2.708371{col 82}{space 3} 3.212957
{txt}{space 24}FL  {c |}{col 29}{res}{space 2}  .969378{col 41}{space 2} 1.076248{col 52}{space 1}    0.90{col 61}{space 3}0.368{col 69}{space 4}-1.140029{col 82}{space 3} 3.078785
{txt}{space 24}GA  {c |}{col 29}{res}{space 2} 1.137149{col 41}{space 2} 1.102967{col 52}{space 1}    1.03{col 61}{space 3}0.303{col 69}{space 4}-1.024627{col 82}{space 3} 3.298925
{txt}{space 24}IL  {c |}{col 29}{res}{space 2} 1.288986{col 41}{space 2}  1.13158{col 52}{space 1}    1.14{col 61}{space 3}0.255{col 69}{space 4}-.9288705{col 82}{space 3} 3.506842
{txt}{space 24}IN  {c |}{col 29}{res}{space 2}-.2233827{col 41}{space 2} 1.464778{col 52}{space 1}   -0.15{col 61}{space 3}0.879{col 69}{space 4}-3.094296{col 82}{space 3}  2.64753
{txt}{space 24}KS  {c |}{col 29}{res}{space 2} 1.387592{col 41}{space 2}  1.18164{col 52}{space 1}    1.17{col 61}{space 3}0.240{col 69}{space 4}-.9283787{col 82}{space 3} 3.703563
{txt}{space 24}KY  {c |}{col 29}{res}{space 2} .2940556{col 41}{space 2} 1.296906{col 52}{space 1}    0.23{col 61}{space 3}0.821{col 69}{space 4}-2.247832{col 82}{space 3} 2.835944
{txt}{space 24}LA  {c |}{col 29}{res}{space 2} 1.325672{col 41}{space 2} 1.200624{col 52}{space 1}    1.10{col 61}{space 3}0.270{col 69}{space 4}-1.027509{col 82}{space 3} 3.678852
{txt}{space 24}MA  {c |}{col 29}{res}{space 2} 1.865049{col 41}{space 2} 1.219027{col 52}{space 1}    1.53{col 61}{space 3}0.126{col 69}{space 4}-.5241998{col 82}{space 3} 4.254299
{txt}{space 24}MD  {c |}{col 29}{res}{space 2} .0205166{col 41}{space 2} 1.504868{col 52}{space 1}    0.01{col 61}{space 3}0.989{col 69}{space 4}-2.928971{col 82}{space 3} 2.970004
{txt}{space 24}MI  {c |}{col 29}{res}{space 2} 1.604376{col 41}{space 2} 1.139226{col 52}{space 1}    1.41{col 61}{space 3}0.159{col 69}{space 4} -.628466{col 82}{space 3} 3.837219
{txt}{space 24}MN  {c |}{col 29}{res}{space 2} 1.227654{col 41}{space 2} 1.264811{col 52}{space 1}    0.97{col 61}{space 3}0.332{col 69}{space 4}-1.251331{col 82}{space 3} 3.706639
{txt}{space 24}MO  {c |}{col 29}{res}{space 2} .5321812{col 41}{space 2} 1.278768{col 52}{space 1}    0.42{col 61}{space 3}0.677{col 69}{space 4}-1.974158{col 82}{space 3}  3.03852
{txt}{space 24}MS  {c |}{col 29}{res}{space 2} 1.567723{col 41}{space 2} 1.324846{col 52}{space 1}    1.18{col 61}{space 3}0.237{col 69}{space 4}-1.028927{col 82}{space 3} 4.164373
{txt}{space 24}NC  {c |}{col 29}{res}{space 2} 1.093047{col 41}{space 2} 1.116334{col 52}{space 1}    0.98{col 61}{space 3}0.328{col 69}{space 4}-1.094927{col 82}{space 3} 3.281022
{txt}{space 24}NJ  {c |}{col 29}{res}{space 2}  1.52473{col 41}{space 2} 1.149323{col 52}{space 1}    1.33{col 61}{space 3}0.185{col 69}{space 4}-.7279019{col 82}{space 3} 3.777361
{txt}{space 24}NM  {c |}{col 29}{res}{space 2} .7770119{col 41}{space 2} 1.342047{col 52}{space 1}    0.58{col 61}{space 3}0.563{col 69}{space 4}-1.853352{col 82}{space 3} 3.407376
{txt}{space 24}NV  {c |}{col 29}{res}{space 2} .8795884{col 41}{space 2} 1.186939{col 52}{space 1}    0.74{col 61}{space 3}0.459{col 69}{space 4}-1.446769{col 82}{space 3} 3.205945
{txt}{space 24}NY  {c |}{col 29}{res}{space 2} 1.059654{col 41}{space 2} 1.119687{col 52}{space 1}    0.95{col 61}{space 3}0.344{col 69}{space 4}-1.134891{col 82}{space 3}   3.2542
{txt}{space 24}OH  {c |}{col 29}{res}{space 2} 1.100855{col 41}{space 2} 1.110828{col 52}{space 1}    0.99{col 61}{space 3}0.322{col 69}{space 4}-1.076328{col 82}{space 3} 3.278037
{txt}{space 24}OK  {c |}{col 29}{res}{space 2} 1.502674{col 41}{space 2} 1.183645{col 52}{space 1}    1.27{col 61}{space 3}0.204{col 69}{space 4}-.8172274{col 82}{space 3} 3.822576
{txt}{space 24}OR  {c |}{col 29}{res}{space 2} .4707896{col 41}{space 2} 1.244148{col 52}{space 1}    0.38{col 61}{space 3}0.705{col 69}{space 4}-1.967696{col 82}{space 3} 2.909275
{txt}{space 24}PA  {c |}{col 29}{res}{space 2} 1.913008{col 41}{space 2} 1.088704{col 52}{space 1}    1.76{col 61}{space 3}0.079{col 69}{space 4}-.2208116{col 82}{space 3} 4.046828
{txt}{space 24}SC  {c |}{col 29}{res}{space 2}  .322058{col 41}{space 2} 1.477881{col 52}{space 1}    0.22{col 61}{space 3}0.827{col 69}{space 4}-2.574536{col 82}{space 3} 3.218652
{txt}{space 24}TN  {c |}{col 29}{res}{space 2}  1.51977{col 41}{space 2} 1.184428{col 52}{space 1}    1.28{col 61}{space 3}0.199{col 69}{space 4}-.8016666{col 82}{space 3} 3.841207
{txt}{space 24}TX  {c |}{col 29}{res}{space 2} 1.337765{col 41}{space 2} 1.066425{col 52}{space 1}    1.25{col 61}{space 3}0.210{col 69}{space 4}-.7523902{col 82}{space 3}  3.42792
{txt}{space 24}UT  {c |}{col 29}{res}{space 2} .2711818{col 41}{space 2} 1.479896{col 52}{space 1}    0.18{col 61}{space 3}0.855{col 69}{space 4} -2.62936{col 82}{space 3} 3.171724
{txt}{space 24}VA  {c |}{col 29}{res}{space 2} .8466102{col 41}{space 2} 1.158268{col 52}{space 1}    0.73{col 61}{space 3}0.465{col 69}{space 4}-1.423552{col 82}{space 3} 3.116773
{txt}{space 24}WA  {c |}{col 29}{res}{space 2} .7562399{col 41}{space 2} 1.249404{col 52}{space 1}    0.61{col 61}{space 3}0.545{col 69}{space 4}-1.692548{col 82}{space 3} 3.205028
{txt}{space 24}WI  {c |}{col 29}{res}{space 2}-12.71808{col 41}{space 2} 542.0431{col 52}{space 1}   -0.02{col 61}{space 3}0.981{col 69}{space 4}-1075.103{col 82}{space 3} 1049.667
{txt}{space 24}WV  {c |}{col 29}{res}{space 2} 2.211587{col 41}{space 2} 1.268601{col 52}{space 1}    1.74{col 61}{space 3}0.081{col 69}{space 4}-.2748263{col 82}{space 3}    4.698
{txt}{space 27} {c |}
{space 22}_cons {c |}{col 29}{res}{space 2}-2.281778{col 41}{space 2} 1.211389{col 52}{space 1}   -1.88{col 61}{space 3}0.060{col 69}{space 4}-4.656056{col 82}{space 3} .0925002
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. * Modeling trust in the state government
. 
. mlogit trust_state_num i.pid3alt##state_control_match i.trust_nondiff  c.age##c.age college female white hispanic 

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-1939.9794}  
Iteration 1:{space 2}Log likelihood = {res:-1849.4055}  
Iteration 2:{space 2}Log likelihood = {res:-1845.4269}  
Iteration 3:{space 2}Log likelihood = {res:-1845.4029}  
Iteration 4:{space 2}Log likelihood = {res:-1845.4029}  
{res}
{txt}{col 1}Multinomial logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:1,969}
{txt}{col 57}{lalign 13:LR chi2({res:24})}{col 70} = {res}{ralign 6:189.15}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-1845.4029}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0488}

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            trust_state_num{col 29}{c |} Coefficient{col 41}  Std. err.{col 53}      z{col 61}   P>|z|{col 69}     [95% con{col 82}f. interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}None_at_all                 {txt}{c |}
{space 20}pid3alt {c |}
{space 15}Independent  {c |}{col 29}{res}{space 2}  .369332{col 41}{space 2} .1874914{col 52}{space 1}    1.97{col 61}{space 3}0.049{col 69}{space 4} .0018557{col 82}{space 3} .7368083
{txt}{space 16}Republican  {c |}{col 29}{res}{space 2}  .335714{col 41}{space 2} .1506145{col 52}{space 1}    2.23{col 61}{space 3}0.026{col 69}{space 4} .0405149{col 82}{space 3} .6309131
{txt}{space 27} {c |}
{space 6}1.state_control_match {c |}{col 29}{res}{space 2}-.9434571{col 41}{space 2}  .194758{col 52}{space 1}   -4.84{col 61}{space 3}0.000{col 69}{space 4}-1.325176{col 82}{space 3}-.5617384
{txt}{space 27} {c |}
pid3alt#state_control_match {c |}
{space 13}Independent#1  {c |}{col 29}{res}{space 2} .7486645{col 41}{space 2} .4100876{col 52}{space 1}    1.83{col 61}{space 3}0.068{col 69}{space 4}-.0550924{col 82}{space 3} 1.552421
{txt}{space 14}Republican#1  {c |}{col 29}{res}{space 2}-.1588439{col 41}{space 2} .2704902{col 52}{space 1}   -0.59{col 61}{space 3}0.557{col 69}{space 4} -.688995{col 82}{space 3} .3713071
{txt}{space 27} {c |}
{space 14}trust_nondiff {c |}
{space 13}Straightlined  {c |}{col 29}{res}{space 2}-.0738674{col 41}{space 2}  .120755{col 52}{space 1}   -0.61{col 61}{space 3}0.541{col 69}{space 4}-.3105428{col 82}{space 3} .1628079
{txt}{space 24}age {c |}{col 29}{res}{space 2}-.0055361{col 41}{space 2} .0201546{col 52}{space 1}   -0.27{col 61}{space 3}0.784{col 69}{space 4}-.0450383{col 82}{space 3} .0339661
{txt}{space 27} {c |}
{space 16}c.age#c.age {c |}{col 29}{res}{space 2}-.0000406{col 41}{space 2} .0002128{col 52}{space 1}   -0.19{col 61}{space 3}0.849{col 69}{space 4}-.0004577{col 82}{space 3} .0003765
{txt}{space 27} {c |}
{space 20}college {c |}{col 29}{res}{space 2} -.278957{col 41}{space 2}  .121353{col 52}{space 1}   -2.30{col 61}{space 3}0.022{col 69}{space 4}-.5168044{col 82}{space 3}-.0411095
{txt}{space 21}female {c |}{col 29}{res}{space 2}-.0579667{col 41}{space 2}  .113677{col 52}{space 1}   -0.51{col 61}{space 3}0.610{col 69}{space 4}-.2807695{col 82}{space 3}  .164836
{txt}{space 22}white {c |}{col 29}{res}{space 2}  .073112{col 41}{space 2} .1359465{col 52}{space 1}    0.54{col 61}{space 3}0.591{col 69}{space 4}-.1933383{col 82}{space 3} .3395622
{txt}{space 19}hispanic {c |}{col 29}{res}{space 2} .1060347{col 41}{space 2} .1587567{col 52}{space 1}    0.67{col 61}{space 3}0.504{col 69}{space 4}-.2051228{col 82}{space 3} .4171922
{txt}{space 22}_cons {c |}{col 29}{res}{space 2}-.3068763{col 41}{space 2} .4486995{col 52}{space 1}   -0.68{col 61}{space 3}0.494{col 69}{space 4}-1.186311{col 82}{space 3} .5725586
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}A_little                   {col 29}{txt}{c |}  (base outcome)
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}A_lot                       {txt}{c |}
{space 20}pid3alt {c |}
{space 15}Independent  {c |}{col 29}{res}{space 2}-.6660035{col 41}{space 2} .3357431{col 52}{space 1}   -1.98{col 61}{space 3}0.047{col 69}{space 4}-1.324048{col 82}{space 3}-.0079591
{txt}{space 16}Republican  {c |}{col 29}{res}{space 2} .4243163{col 41}{space 2} .1877524{col 52}{space 1}    2.26{col 61}{space 3}0.024{col 69}{space 4} .0563283{col 82}{space 3} .7923043
{txt}{space 27} {c |}
{space 6}1.state_control_match {c |}{col 29}{res}{space 2} .7821766{col 41}{space 2} .1768116{col 52}{space 1}    4.42{col 61}{space 3}0.000{col 69}{space 4} .4356322{col 82}{space 3} 1.128721
{txt}{space 27} {c |}
pid3alt#state_control_match {c |}
{space 13}Independent#1  {c |}{col 29}{res}{space 2}-.2940026{col 41}{space 2} .6048459{col 52}{space 1}   -0.49{col 61}{space 3}0.627{col 69}{space 4}-1.479479{col 82}{space 3} .8914735
{txt}{space 14}Republican#1  {c |}{col 29}{res}{space 2}-.7847492{col 41}{space 2} .2538732{col 52}{space 1}   -3.09{col 61}{space 3}0.002{col 69}{space 4}-1.282332{col 82}{space 3}-.2871669
{txt}{space 27} {c |}
{space 14}trust_nondiff {c |}
{space 13}Straightlined  {c |}{col 29}{res}{space 2}-.4601941{col 41}{space 2} .1386878{col 52}{space 1}   -3.32{col 61}{space 3}0.001{col 69}{space 4}-.7320172{col 82}{space 3} -.188371
{txt}{space 24}age {c |}{col 29}{res}{space 2}-.0138444{col 41}{space 2} .0216355{col 52}{space 1}   -0.64{col 61}{space 3}0.522{col 69}{space 4}-.0562492{col 82}{space 3} .0285604
{txt}{space 27} {c |}
{space 16}c.age#c.age {c |}{col 29}{res}{space 2} .0001519{col 41}{space 2} .0002227{col 52}{space 1}    0.68{col 61}{space 3}0.495{col 69}{space 4}-.0002847{col 82}{space 3} .0005884
{txt}{space 27} {c |}
{space 20}college {c |}{col 29}{res}{space 2} .1889599{col 41}{space 2} .1241498{col 52}{space 1}    1.52{col 61}{space 3}0.128{col 69}{space 4}-.0543693{col 82}{space 3} .4322891
{txt}{space 21}female {c |}{col 29}{res}{space 2}-.0908957{col 41}{space 2} .1220035{col 52}{space 1}   -0.75{col 61}{space 3}0.456{col 69}{space 4}-.3300182{col 82}{space 3} .1482267
{txt}{space 22}white {c |}{col 29}{res}{space 2}-.0267727{col 41}{space 2} .1462901{col 52}{space 1}   -0.18{col 61}{space 3}0.855{col 69}{space 4}-.3134961{col 82}{space 3} .2599507
{txt}{space 19}hispanic {c |}{col 29}{res}{space 2} .3040798{col 41}{space 2} .1637299{col 52}{space 1}    1.86{col 61}{space 3}0.063{col 69}{space 4}-.0168249{col 82}{space 3} .6249846
{txt}{space 22}_cons {c |}{col 29}{res}{space 2}-1.076468{col 41}{space 2} .4988433{col 52}{space 1}   -2.16{col 61}{space 3}0.031{col 69}{space 4}-2.054183{col 82}{space 3}-.0987534
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto m_trust_state
{txt}
{com}. 
. mlogit trust_state_num i.pid3alt##state_control_match i.trust_nondiff c.age##c.age college female white hispanic i.state_num if small_state == 0

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-1851.4053}  
Iteration 1:{space 2}Log likelihood = {res:-1698.4012}  
Iteration 2:{space 2}Log likelihood = {res: -1689.794}  
Iteration 3:{space 2}Log likelihood = {res:-1689.6713}  
Iteration 4:{space 2}Log likelihood = {res: -1689.671}  
Iteration 5:{space 2}Log likelihood = {res: -1689.671}  
{res}
{txt}{col 1}Multinomial logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:1,880}
{txt}{col 57}{lalign 13:LR chi2({res:94})}{col 70} = {res}{ralign 6:323.47}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 9:-1689.671}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0874}

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            trust_state_num{col 29}{c |} Coefficient{col 41}  Std. err.{col 53}      z{col 61}   P>|z|{col 69}     [95% con{col 82}f. interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}None_at_all                 {txt}{c |}
{space 20}pid3alt {c |}
{space 15}Independent  {c |}{col 29}{res}{space 2} .0126721{col 41}{space 2}  .221676{col 52}{space 1}    0.06{col 61}{space 3}0.954{col 69}{space 4}-.4218049{col 82}{space 3} .4471491
{txt}{space 16}Republican  {c |}{col 29}{res}{space 2} .2468029{col 41}{space 2} .2290744{col 52}{space 1}    1.08{col 61}{space 3}0.281{col 69}{space 4}-.2021748{col 82}{space 3} .6957806
{txt}{space 27} {c |}
{space 6}1.state_control_match {c |}{col 29}{res}{space 2} -1.44845{col 41}{space 2} .2923666{col 52}{space 1}   -4.95{col 61}{space 3}0.000{col 69}{space 4}-2.021479{col 82}{space 3}-.8754224
{txt}{space 27} {c |}
pid3alt#state_control_match {c |}
{space 13}Independent#1  {c |}{col 29}{res}{space 2} 2.311381{col 41}{space 2} .5277457{col 52}{space 1}    4.38{col 61}{space 3}0.000{col 69}{space 4} 1.277018{col 82}{space 3} 3.345744
{txt}{space 14}Republican#1  {c |}{col 29}{res}{space 2} .0507671{col 41}{space 2} .4892492{col 52}{space 1}    0.10{col 61}{space 3}0.917{col 69}{space 4}-.9081437{col 82}{space 3} 1.009678
{txt}{space 27} {c |}
{space 14}trust_nondiff {c |}
{space 13}Straightlined  {c |}{col 29}{res}{space 2}-.0649186{col 41}{space 2} .1290923{col 52}{space 1}   -0.50{col 61}{space 3}0.615{col 69}{space 4}-.3179348{col 82}{space 3} .1880976
{txt}{space 24}age {c |}{col 29}{res}{space 2}-.0097001{col 41}{space 2} .0213746{col 52}{space 1}   -0.45{col 61}{space 3}0.650{col 69}{space 4}-.0515936{col 82}{space 3} .0321935
{txt}{space 27} {c |}
{space 16}c.age#c.age {c |}{col 29}{res}{space 2} 9.16e-06{col 41}{space 2} .0002257{col 52}{space 1}    0.04{col 61}{space 3}0.968{col 69}{space 4}-.0004332{col 82}{space 3} .0004515
{txt}{space 27} {c |}
{space 20}college {c |}{col 29}{res}{space 2}-.2244515{col 41}{space 2} .1285208{col 52}{space 1}   -1.75{col 61}{space 3}0.081{col 69}{space 4}-.4763477{col 82}{space 3} .0274446
{txt}{space 21}female {c |}{col 29}{res}{space 2}-.0345821{col 41}{space 2} .1209742{col 52}{space 1}   -0.29{col 61}{space 3}0.775{col 69}{space 4}-.2716871{col 82}{space 3}  .202523
{txt}{space 22}white {c |}{col 29}{res}{space 2} .0838167{col 41}{space 2} .1467663{col 52}{space 1}    0.57{col 61}{space 3}0.568{col 69}{space 4}  -.20384{col 82}{space 3} .3714733
{txt}{space 19}hispanic {c |}{col 29}{res}{space 2} .0378887{col 41}{space 2} .1704119{col 52}{space 1}    0.22{col 61}{space 3}0.824{col 69}{space 4}-.2961124{col 82}{space 3} .3718898
{txt}{space 27} {c |}
{space 18}state_num {c |}
{space 24}AR  {c |}{col 29}{res}{space 2}  1.04592{col 41}{space 2} .7719008{col 52}{space 1}    1.35{col 61}{space 3}0.175{col 69}{space 4}-.4669773{col 82}{space 3} 2.558818
{txt}{space 24}AZ  {c |}{col 29}{res}{space 2}-.3616881{col 41}{space 2} .6526752{col 52}{space 1}   -0.55{col 61}{space 3}0.579{col 69}{space 4}-1.640908{col 82}{space 3} .9175318
{txt}{space 24}CA  {c |}{col 29}{res}{space 2} .7224391{col 41}{space 2}  .581315{col 52}{space 1}    1.24{col 61}{space 3}0.214{col 69}{space 4}-.4169173{col 82}{space 3} 1.861796
{txt}{space 24}CO  {c |}{col 29}{res}{space 2} .5904876{col 41}{space 2} .7382604{col 52}{space 1}    0.80{col 61}{space 3}0.424{col 69}{space 4}-.8564762{col 82}{space 3} 2.037451
{txt}{space 24}CT  {c |}{col 29}{res}{space 2}-.0298565{col 41}{space 2} .8696029{col 52}{space 1}   -0.03{col 61}{space 3}0.973{col 69}{space 4}-1.734247{col 82}{space 3} 1.674534
{txt}{space 24}FL  {c |}{col 29}{res}{space 2} .5536785{col 41}{space 2} .5611362{col 52}{space 1}    0.99{col 61}{space 3}0.324{col 69}{space 4}-.5461283{col 82}{space 3} 1.653485
{txt}{space 24}GA  {c |}{col 29}{res}{space 2} .2314964{col 41}{space 2}  .589579{col 52}{space 1}    0.39{col 61}{space 3}0.695{col 69}{space 4}-.9240572{col 82}{space 3}  1.38705
{txt}{space 24}IL  {c |}{col 29}{res}{space 2}  .366631{col 41}{space 2} .6219163{col 52}{space 1}    0.59{col 61}{space 3}0.556{col 69}{space 4}-.8523026{col 82}{space 3} 1.585565
{txt}{space 24}IN  {c |}{col 29}{res}{space 2}-.1151144{col 41}{space 2} .7320291{col 52}{space 1}   -0.16{col 61}{space 3}0.875{col 69}{space 4}-1.549865{col 82}{space 3} 1.319636
{txt}{space 24}KS  {c |}{col 29}{res}{space 2}-.0180022{col 41}{space 2} .6986319{col 52}{space 1}   -0.03{col 61}{space 3}0.979{col 69}{space 4}-1.387296{col 82}{space 3} 1.351291
{txt}{space 24}KY  {c |}{col 29}{res}{space 2}-1.213787{col 41}{space 2} .8305299{col 52}{space 1}   -1.46{col 61}{space 3}0.144{col 69}{space 4}-2.841596{col 82}{space 3} .4140215
{txt}{space 24}LA  {c |}{col 29}{res}{space 2} .4074596{col 41}{space 2} .6948022{col 52}{space 1}    0.59{col 61}{space 3}0.558{col 69}{space 4}-.9543277{col 82}{space 3} 1.769247
{txt}{space 24}MA  {c |}{col 29}{res}{space 2} .4516095{col 41}{space 2} .7484715{col 52}{space 1}    0.60{col 61}{space 3}0.546{col 69}{space 4}-1.015368{col 82}{space 3} 1.918587
{txt}{space 24}MD  {c |}{col 29}{res}{space 2} .1161013{col 41}{space 2}   .80349{col 52}{space 1}    0.14{col 61}{space 3}0.885{col 69}{space 4} -1.45871{col 82}{space 3} 1.690913
{txt}{space 24}MI  {c |}{col 29}{res}{space 2} .3109534{col 41}{space 2} .6480261{col 52}{space 1}    0.48{col 61}{space 3}0.631{col 69}{space 4}-.9591545{col 82}{space 3} 1.581061
{txt}{space 24}MN  {c |}{col 29}{res}{space 2} .2012966{col 41}{space 2}    .7413{col 52}{space 1}    0.27{col 61}{space 3}0.786{col 69}{space 4}-1.251625{col 82}{space 3} 1.654218
{txt}{space 24}MO  {c |}{col 29}{res}{space 2} .5668531{col 41}{space 2} .6317417{col 52}{space 1}    0.90{col 61}{space 3}0.370{col 69}{space 4}-.6713379{col 82}{space 3} 1.805044
{txt}{space 24}MS  {c |}{col 29}{res}{space 2} 1.793318{col 41}{space 2} .7094506{col 52}{space 1}    2.53{col 61}{space 3}0.011{col 69}{space 4}   .40282{col 82}{space 3} 3.183815
{txt}{space 24}NC  {c |}{col 29}{res}{space 2} .0371016{col 41}{space 2} .5979747{col 52}{space 1}    0.06{col 61}{space 3}0.951{col 69}{space 4}-1.134907{col 82}{space 3}  1.20911
{txt}{space 24}NJ  {c |}{col 29}{res}{space 2} .7426418{col 41}{space 2} .6654268{col 52}{space 1}    1.12{col 61}{space 3}0.264{col 69}{space 4}-.5615706{col 82}{space 3} 2.046854
{txt}{space 24}NM  {c |}{col 29}{res}{space 2} .4956891{col 41}{space 2} .8489102{col 52}{space 1}    0.58{col 61}{space 3}0.559{col 69}{space 4}-1.168144{col 82}{space 3} 2.159523
{txt}{space 24}NV  {c |}{col 29}{res}{space 2} -.622615{col 41}{space 2} .7077458{col 52}{space 1}   -0.88{col 61}{space 3}0.379{col 69}{space 4}-2.009771{col 82}{space 3} .7645413
{txt}{space 24}NY  {c |}{col 29}{res}{space 2} .8955778{col 41}{space 2} .5902837{col 52}{space 1}    1.52{col 61}{space 3}0.129{col 69}{space 4} -.261357{col 82}{space 3} 2.052513
{txt}{space 24}OH  {c |}{col 29}{res}{space 2} .5496293{col 41}{space 2} .5862318{col 52}{space 1}    0.94{col 61}{space 3}0.348{col 69}{space 4}-.5993639{col 82}{space 3} 1.698622
{txt}{space 24}OK  {c |}{col 29}{res}{space 2} .5481037{col 41}{space 2} .6992395{col 52}{space 1}    0.78{col 61}{space 3}0.433{col 69}{space 4}-.8223806{col 82}{space 3} 1.918588
{txt}{space 24}OR  {c |}{col 29}{res}{space 2} .3290248{col 41}{space 2} .6858002{col 52}{space 1}    0.48{col 61}{space 3}0.631{col 69}{space 4}-1.015119{col 82}{space 3} 1.673169
{txt}{space 24}PA  {c |}{col 29}{res}{space 2}-.3862135{col 41}{space 2} .6101009{col 52}{space 1}   -0.63{col 61}{space 3}0.527{col 69}{space 4}-1.581989{col 82}{space 3} .8095624
{txt}{space 24}SC  {c |}{col 29}{res}{space 2} -1.31833{col 41}{space 2} 1.155882{col 52}{space 1}   -1.14{col 61}{space 3}0.254{col 69}{space 4}-3.583817{col 82}{space 3} .9471564
{txt}{space 24}TN  {c |}{col 29}{res}{space 2} .7860063{col 41}{space 2} .6567229{col 52}{space 1}    1.20{col 61}{space 3}0.231{col 69}{space 4}-.5011469{col 82}{space 3}  2.07316
{txt}{space 24}TX  {c |}{col 29}{res}{space 2} .7907469{col 41}{space 2} .5561605{col 52}{space 1}    1.42{col 61}{space 3}0.155{col 69}{space 4}-.2993077{col 82}{space 3} 1.880802
{txt}{space 24}UT  {c |}{col 29}{res}{space 2} 1.229317{col 41}{space 2} .7424855{col 52}{space 1}    1.66{col 61}{space 3}0.098{col 69}{space 4} -.225928{col 82}{space 3} 2.684562
{txt}{space 24}VA  {c |}{col 29}{res}{space 2}-2.334828{col 41}{space 2} .9042415{col 52}{space 1}   -2.58{col 61}{space 3}0.010{col 69}{space 4}-4.107109{col 82}{space 3}-.5625473
{txt}{space 24}WA  {c |}{col 29}{res}{space 2} .7700614{col 41}{space 2} .6462044{col 52}{space 1}    1.19{col 61}{space 3}0.233{col 69}{space 4}-.4964761{col 82}{space 3} 2.036599
{txt}{space 24}WI  {c |}{col 29}{res}{space 2} .3844148{col 41}{space 2} .6691704{col 52}{space 1}    0.57{col 61}{space 3}0.566{col 69}{space 4}-.9271351{col 82}{space 3} 1.695965
{txt}{space 24}WV  {c |}{col 29}{res}{space 2} .4940289{col 41}{space 2}  .874908{col 52}{space 1}    0.56{col 61}{space 3}0.572{col 69}{space 4}-1.220759{col 82}{space 3} 2.208817
{txt}{space 27} {c |}
{space 22}_cons {c |}{col 29}{res}{space 2}-.4751349{col 41}{space 2} .7025568{col 52}{space 1}   -0.68{col 61}{space 3}0.499{col 69}{space 4}-1.852121{col 82}{space 3} .9018511
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}A_little                   {col 29}{txt}{c |}  (base outcome)
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}A_lot                       {txt}{c |}
{space 20}pid3alt {c |}
{space 15}Independent  {c |}{col 29}{res}{space 2}-.6288906{col 41}{space 2} .3650148{col 52}{space 1}   -1.72{col 61}{space 3}0.085{col 69}{space 4}-1.344306{col 82}{space 3} .0865252
{txt}{space 16}Republican  {c |}{col 29}{res}{space 2} .1300866{col 41}{space 2}  .259762{col 52}{space 1}    0.50{col 61}{space 3}0.617{col 69}{space 4}-.3790376{col 82}{space 3} .6392108
{txt}{space 27} {c |}
{space 6}1.state_control_match {c |}{col 29}{res}{space 2} .6041369{col 41}{space 2} .3190013{col 52}{space 1}    1.89{col 61}{space 3}0.058{col 69}{space 4}-.0210941{col 82}{space 3} 1.229368
{txt}{space 27} {c |}
pid3alt#state_control_match {c |}
{space 13}Independent#1  {c |}{col 29}{res}{space 2}-.5600439{col 41}{space 2} .7561073{col 52}{space 1}   -0.74{col 61}{space 3}0.459{col 69}{space 4}-2.041987{col 82}{space 3}  .921899
{txt}{space 14}Republican#1  {c |}{col 29}{res}{space 2}-.2348847{col 41}{space 2}   .56471{col 52}{space 1}   -0.42{col 61}{space 3}0.677{col 69}{space 4}-1.341696{col 82}{space 3} .8719266
{txt}{space 27} {c |}
{space 14}trust_nondiff {c |}
{space 13}Straightlined  {c |}{col 29}{res}{space 2}-.5113074{col 41}{space 2} .1469991{col 52}{space 1}   -3.48{col 61}{space 3}0.001{col 69}{space 4}-.7994203{col 82}{space 3}-.2231946
{txt}{space 24}age {c |}{col 29}{res}{space 2}-.0210157{col 41}{space 2} .0226028{col 52}{space 1}   -0.93{col 61}{space 3}0.352{col 69}{space 4}-.0653163{col 82}{space 3} .0232849
{txt}{space 27} {c |}
{space 16}c.age#c.age {c |}{col 29}{res}{space 2} .0002358{col 41}{space 2} .0002327{col 52}{space 1}    1.01{col 61}{space 3}0.311{col 69}{space 4}-.0002203{col 82}{space 3} .0006919
{txt}{space 27} {c |}
{space 20}college {c |}{col 29}{res}{space 2} .1770833{col 41}{space 2} .1307938{col 52}{space 1}    1.35{col 61}{space 3}0.176{col 69}{space 4}-.0792678{col 82}{space 3} .4334344
{txt}{space 21}female {c |}{col 29}{res}{space 2}-.0804356{col 41}{space 2}  .128473{col 52}{space 1}   -0.63{col 61}{space 3}0.531{col 69}{space 4} -.332238{col 82}{space 3} .1713668
{txt}{space 22}white {c |}{col 29}{res}{space 2}-.1015712{col 41}{space 2} .1546164{col 52}{space 1}   -0.66{col 61}{space 3}0.511{col 69}{space 4}-.4046138{col 82}{space 3} .2014714
{txt}{space 19}hispanic {c |}{col 29}{res}{space 2} .1999594{col 41}{space 2}  .174341{col 52}{space 1}    1.15{col 61}{space 3}0.251{col 69}{space 4}-.1417428{col 82}{space 3} .5416616
{txt}{space 27} {c |}
{space 18}state_num {c |}
{space 24}AR  {c |}{col 29}{res}{space 2} 1.077892{col 41}{space 2} 1.290575{col 52}{space 1}    0.84{col 61}{space 3}0.404{col 69}{space 4}-1.451588{col 82}{space 3} 3.607371
{txt}{space 24}AZ  {c |}{col 29}{res}{space 2}  1.22921{col 41}{space 2} 1.156911{col 52}{space 1}    1.06{col 61}{space 3}0.288{col 69}{space 4}-1.038294{col 82}{space 3} 3.496714
{txt}{space 24}CA  {c |}{col 29}{res}{space 2} 1.814453{col 41}{space 2} 1.087863{col 52}{space 1}    1.67{col 61}{space 3}0.095{col 69}{space 4}-.3177181{col 82}{space 3} 3.946625
{txt}{space 24}CO  {c |}{col 29}{res}{space 2} 2.045787{col 41}{space 2} 1.171939{col 52}{space 1}    1.75{col 61}{space 3}0.081{col 69}{space 4}-.2511715{col 82}{space 3} 4.342745
{txt}{space 24}CT  {c |}{col 29}{res}{space 2} 2.395715{col 41}{space 2} 1.172404{col 52}{space 1}    2.04{col 61}{space 3}0.041{col 69}{space 4} .0978452{col 82}{space 3} 4.693585
{txt}{space 24}FL  {c |}{col 29}{res}{space 2}  1.71783{col 41}{space 2} 1.054204{col 52}{space 1}    1.63{col 61}{space 3}0.103{col 69}{space 4}-.3483722{col 82}{space 3} 3.784031
{txt}{space 24}GA  {c |}{col 29}{res}{space 2} 1.409707{col 41}{space 2} 1.083626{col 52}{space 1}    1.30{col 61}{space 3}0.193{col 69}{space 4}-.7141616{col 82}{space 3} 3.533575
{txt}{space 24}IL  {c |}{col 29}{res}{space 2} 1.954496{col 41}{space 2} 1.104067{col 52}{space 1}    1.77{col 61}{space 3}0.077{col 69}{space 4}-.2094352{col 82}{space 3} 4.118428
{txt}{space 24}IN  {c |}{col 29}{res}{space 2}-.1517474{col 41}{space 2} 1.455676{col 52}{space 1}   -0.10{col 61}{space 3}0.917{col 69}{space 4} -3.00482{col 82}{space 3} 2.701325
{txt}{space 24}KS  {c |}{col 29}{res}{space 2} 2.460365{col 41}{space 2} 1.135172{col 52}{space 1}    2.17{col 61}{space 3}0.030{col 69}{space 4} .2354691{col 82}{space 3}  4.68526
{txt}{space 24}KY  {c |}{col 29}{res}{space 2} 2.673076{col 41}{space 2} 1.122613{col 52}{space 1}    2.38{col 61}{space 3}0.017{col 69}{space 4}  .472796{col 82}{space 3} 4.873356
{txt}{space 24}LA  {c |}{col 29}{res}{space 2} 2.413972{col 41}{space 2} 1.164124{col 52}{space 1}    2.07{col 61}{space 3}0.038{col 69}{space 4}  .132331{col 82}{space 3} 4.695613
{txt}{space 24}MA  {c |}{col 29}{res}{space 2} 1.618106{col 41}{space 2} 1.191251{col 52}{space 1}    1.36{col 61}{space 3}0.174{col 69}{space 4}-.7167029{col 82}{space 3} 3.952914
{txt}{space 24}MD  {c |}{col 29}{res}{space 2} 1.586654{col 41}{space 2}  1.19364{col 52}{space 1}    1.33{col 61}{space 3}0.184{col 69}{space 4}-.7528379{col 82}{space 3} 3.926146
{txt}{space 24}MI  {c |}{col 29}{res}{space 2} 1.832542{col 41}{space 2} 1.119236{col 52}{space 1}    1.64{col 61}{space 3}0.102{col 69}{space 4}-.3611195{col 82}{space 3} 4.026204
{txt}{space 24}MN  {c |}{col 29}{res}{space 2} 1.035288{col 41}{space 2} 1.244444{col 52}{space 1}    0.83{col 61}{space 3}0.405{col 69}{space 4}-1.403777{col 82}{space 3} 3.474353
{txt}{space 24}MO  {c |}{col 29}{res}{space 2} .7413356{col 41}{space 2} 1.199398{col 52}{space 1}    0.62{col 61}{space 3}0.537{col 69}{space 4}-1.609442{col 82}{space 3} 3.092113
{txt}{space 24}MS  {c |}{col 29}{res}{space 2} 1.823216{col 41}{space 2} 1.235637{col 52}{space 1}    1.48{col 61}{space 3}0.140{col 69}{space 4}-.5985892{col 82}{space 3}  4.24502
{txt}{space 24}NC  {c |}{col 29}{res}{space 2} 1.578209{col 41}{space 2} 1.111207{col 52}{space 1}    1.42{col 61}{space 3}0.156{col 69}{space 4}-.5997169{col 82}{space 3} 3.756136
{txt}{space 24}NJ  {c |}{col 29}{res}{space 2} 2.048582{col 41}{space 2} 1.123422{col 52}{space 1}    1.82{col 61}{space 3}0.068{col 69}{space 4}-.1532851{col 82}{space 3} 4.250449
{txt}{space 24}NM  {c |}{col 29}{res}{space 2} 2.257077{col 41}{space 2} 1.223975{col 52}{space 1}    1.84{col 61}{space 3}0.065{col 69}{space 4}-.1418698{col 82}{space 3} 4.656023
{txt}{space 24}NV  {c |}{col 29}{res}{space 2} 1.705885{col 41}{space 2} 1.143662{col 52}{space 1}    1.49{col 61}{space 3}0.136{col 69}{space 4}-.5356516{col 82}{space 3} 3.947423
{txt}{space 24}NY  {c |}{col 29}{res}{space 2} 1.665201{col 41}{space 2} 1.097527{col 52}{space 1}    1.52{col 61}{space 3}0.129{col 69}{space 4}-.4859121{col 82}{space 3} 3.816315
{txt}{space 24}OH  {c |}{col 29}{res}{space 2} 1.392302{col 41}{space 2} 1.084624{col 52}{space 1}    1.28{col 61}{space 3}0.199{col 69}{space 4}-.7335214{col 82}{space 3} 3.518126
{txt}{space 24}OK  {c |}{col 29}{res}{space 2} 1.775688{col 41}{space 2} 1.155696{col 52}{space 1}    1.54{col 61}{space 3}0.124{col 69}{space 4}-.4894343{col 82}{space 3}  4.04081
{txt}{space 24}OR  {c |}{col 29}{res}{space 2} 1.551747{col 41}{space 2} 1.155209{col 52}{space 1}    1.34{col 61}{space 3}0.179{col 69}{space 4}-.7124219{col 82}{space 3} 3.815916
{txt}{space 24}PA  {c |}{col 29}{res}{space 2} 2.461225{col 41}{space 2} 1.078591{col 52}{space 1}    2.28{col 61}{space 3}0.022{col 69}{space 4} .3472269{col 82}{space 3} 4.575224
{txt}{space 24}SC  {c |}{col 29}{res}{space 2}-.2696175{col 41}{space 2} 1.455935{col 52}{space 1}   -0.19{col 61}{space 3}0.853{col 69}{space 4}-3.123197{col 82}{space 3} 2.583962
{txt}{space 24}TN  {c |}{col 29}{res}{space 2} 2.016279{col 41}{space 2} 1.115308{col 52}{space 1}    1.81{col 61}{space 3}0.071{col 69}{space 4}-.1696852{col 82}{space 3} 4.202243
{txt}{space 24}TX  {c |}{col 29}{res}{space 2} 2.028551{col 41}{space 2} 1.051173{col 52}{space 1}    1.93{col 61}{space 3}0.054{col 69}{space 4}-.0317099{col 82}{space 3} 4.088812
{txt}{space 24}UT  {c |}{col 29}{res}{space 2} 1.609409{col 41}{space 2} 1.231415{col 52}{space 1}    1.31{col 61}{space 3}0.191{col 69}{space 4}-.8041202{col 82}{space 3} 4.022938
{txt}{space 24}VA  {c |}{col 29}{res}{space 2} .9606577{col 41}{space 2} 1.150895{col 52}{space 1}    0.83{col 61}{space 3}0.404{col 69}{space 4}-1.295054{col 82}{space 3}  3.21637
{txt}{space 24}WA  {c |}{col 29}{res}{space 2} 1.336706{col 41}{space 2} 1.165977{col 52}{space 1}    1.15{col 61}{space 3}0.252{col 69}{space 4} -.948566{col 82}{space 3} 3.621978
{txt}{space 24}WI  {c |}{col 29}{res}{space 2} 1.036041{col 41}{space 2} 1.294083{col 52}{space 1}    0.80{col 61}{space 3}0.423{col 69}{space 4}-1.500315{col 82}{space 3} 3.572397
{txt}{space 24}WV  {c |}{col 29}{res}{space 2} 2.001592{col 41}{space 2} 1.243075{col 52}{space 1}    1.61{col 61}{space 3}0.107{col 69}{space 4}-.4347894{col 82}{space 3} 4.437974
{txt}{space 27} {c |}
{space 22}_cons {c |}{col 29}{res}{space 2}-2.508743{col 41}{space 2} 1.159773{col 52}{space 1}   -2.16{col 61}{space 3}0.031{col 69}{space 4}-4.781855{col 82}{space 3}  -.23563
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto m_trust_state_fe
{txt}
{com}. 
. * interaction term between pid3 and state control is not significant
. * drop independendts (keep lean-independendts)
. 
. mlogit trust_state_num i.pid3alt state_control_match i.trust_nondiff c.age##c.age college female white hispanic i.state_num if small_state == 0 & pid3alt != 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-1630.2785}  
Iteration 1:{space 2}Log likelihood = {res:-1499.5089}  
Iteration 2:{space 2}Log likelihood = {res:-1492.2629}  
Iteration 3:{space 2}Log likelihood = {res: -1492.106}  
Iteration 4:{space 2}Log likelihood = {res: -1492.105}  
Iteration 5:{space 2}Log likelihood = {res: -1492.105}  
{res}
{txt}{col 1}Multinomial logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:1,657}
{txt}{col 57}{lalign 13:LR chi2({res:88})}{col 70} = {res}{ralign 6:276.35}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 9:-1492.105}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0848}

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    trust_state_num{col 21}{c |} Coefficient{col 33}  Std. err.{col 45}      z{col 53}   P>|z|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}None_at_all         {txt}{c |}
{space 12}pid3alt {c |}
{space 8}Republican  {c |}{col 21}{res}{space 2} .3097592{col 33}{space 2} .1416563{col 44}{space 1}    2.19{col 53}{space 3}0.029{col 61}{space 4} .0321179{col 74}{space 3} .5874004
{txt}state_control_match {c |}{col 21}{res}{space 2}-1.448795{col 33}{space 2} .1557765{col 44}{space 1}   -9.30{col 53}{space 3}0.000{col 61}{space 4}-1.754112{col 74}{space 3}-1.143479
{txt}{space 19} {c |}
{space 6}trust_nondiff {c |}
{space 5}Straightlined  {c |}{col 21}{res}{space 2}-.0487361{col 33}{space 2} .1427428{col 44}{space 1}   -0.34{col 53}{space 3}0.733{col 61}{space 4}-.3285067{col 74}{space 3} .2310346
{txt}{space 16}age {c |}{col 21}{res}{space 2}-.0227232{col 33}{space 2} .0237628{col 44}{space 1}   -0.96{col 53}{space 3}0.339{col 61}{space 4}-.0692973{col 74}{space 3}  .023851
{txt}{space 19} {c |}
{space 8}c.age#c.age {c |}{col 21}{res}{space 2} .0001614{col 33}{space 2} .0002492{col 44}{space 1}    0.65{col 53}{space 3}0.517{col 61}{space 4} -.000327{col 74}{space 3} .0006498
{txt}{space 19} {c |}
{space 12}college {c |}{col 21}{res}{space 2}-.2756826{col 33}{space 2}    .1407{col 44}{space 1}   -1.96{col 53}{space 3}0.050{col 61}{space 4}-.5514496{col 74}{space 3} .0000843
{txt}{space 13}female {c |}{col 21}{res}{space 2}-.0682107{col 33}{space 2} .1335021{col 44}{space 1}   -0.51{col 53}{space 3}0.609{col 61}{space 4}  -.32987{col 74}{space 3} .1934486
{txt}{space 14}white {c |}{col 21}{res}{space 2}-.0221611{col 33}{space 2} .1627108{col 44}{space 1}   -0.14{col 53}{space 3}0.892{col 61}{space 4}-.3410684{col 74}{space 3} .2967462
{txt}{space 11}hispanic {c |}{col 21}{res}{space 2} .0714788{col 33}{space 2} .1858234{col 44}{space 1}    0.38{col 53}{space 3}0.700{col 61}{space 4}-.2927284{col 74}{space 3} .4356859
{txt}{space 19} {c |}
{space 10}state_num {c |}
{space 16}AR  {c |}{col 21}{res}{space 2} 1.279997{col 33}{space 2} .8610115{col 44}{space 1}    1.49{col 53}{space 3}0.137{col 61}{space 4}-.4075543{col 74}{space 3} 2.967549
{txt}{space 16}AZ  {c |}{col 21}{res}{space 2}-.1892501{col 33}{space 2}  .767547{col 44}{space 1}   -0.25{col 53}{space 3}0.805{col 61}{space 4}-1.693614{col 74}{space 3} 1.315114
{txt}{space 16}CA  {c |}{col 21}{res}{space 2} .9633858{col 33}{space 2}  .680319{col 44}{space 1}    1.42{col 53}{space 3}0.157{col 61}{space 4}-.3700149{col 74}{space 3} 2.296787
{txt}{space 16}CO  {c |}{col 21}{res}{space 2} .4499207{col 33}{space 2} .8498483{col 44}{space 1}    0.53{col 53}{space 3}0.597{col 61}{space 4}-1.215751{col 74}{space 3} 2.115593
{txt}{space 16}CT  {c |}{col 21}{res}{space 2} .3047552{col 33}{space 2} .9489648{col 44}{space 1}    0.32{col 53}{space 3}0.748{col 61}{space 4}-1.555182{col 74}{space 3} 2.164692
{txt}{space 16}FL  {c |}{col 21}{res}{space 2} .7921912{col 33}{space 2} .6875995{col 44}{space 1}    1.15{col 53}{space 3}0.249{col 61}{space 4}-.5554791{col 74}{space 3} 2.139862
{txt}{space 16}GA  {c |}{col 21}{res}{space 2} .4836561{col 33}{space 2} .7161805{col 44}{space 1}    0.68{col 53}{space 3}0.499{col 61}{space 4}-.9200319{col 74}{space 3} 1.887344
{txt}{space 16}IL  {c |}{col 21}{res}{space 2} .4780525{col 33}{space 2} .7254011{col 44}{space 1}    0.66{col 53}{space 3}0.510{col 61}{space 4}-.9437076{col 74}{space 3} 1.899813
{txt}{space 16}IN  {c |}{col 21}{res}{space 2} .2022373{col 33}{space 2} .8304441{col 44}{space 1}    0.24{col 53}{space 3}0.808{col 61}{space 4}-1.425403{col 74}{space 3} 1.829878
{txt}{space 16}KS  {c |}{col 21}{res}{space 2} .1857797{col 33}{space 2}  .817833{col 44}{space 1}    0.23{col 53}{space 3}0.820{col 61}{space 4}-1.417144{col 74}{space 3} 1.788703
{txt}{space 16}KY  {c |}{col 21}{res}{space 2}-1.087558{col 33}{space 2} .9967267{col 44}{space 1}   -1.09{col 53}{space 3}0.275{col 61}{space 4}-3.041106{col 74}{space 3} .8659906
{txt}{space 16}LA  {c |}{col 21}{res}{space 2} .6417103{col 33}{space 2} .7986769{col 44}{space 1}    0.80{col 53}{space 3}0.422{col 61}{space 4}-.9236676{col 74}{space 3} 2.207088
{txt}{space 16}MA  {c |}{col 21}{res}{space 2} .5777463{col 33}{space 2} .8539786{col 44}{space 1}    0.68{col 53}{space 3}0.499{col 61}{space 4}-1.096021{col 74}{space 3} 2.251514
{txt}{space 16}MD  {c |}{col 21}{res}{space 2}  .155054{col 33}{space 2} .9302875{col 44}{space 1}    0.17{col 53}{space 3}0.868{col 61}{space 4}-1.668276{col 74}{space 3} 1.978384
{txt}{space 16}MI  {c |}{col 21}{res}{space 2} .3223064{col 33}{space 2} .7515347{col 44}{space 1}    0.43{col 53}{space 3}0.668{col 61}{space 4}-1.150675{col 74}{space 3} 1.795287
{txt}{space 16}MN  {c |}{col 21}{res}{space 2} .3857985{col 33}{space 2}  .850079{col 44}{space 1}    0.45{col 53}{space 3}0.650{col 61}{space 4}-1.280326{col 74}{space 3} 2.051923
{txt}{space 16}MO  {c |}{col 21}{res}{space 2} .5861093{col 33}{space 2} .7882583{col 44}{space 1}    0.74{col 53}{space 3}0.457{col 61}{space 4}-.9588486{col 74}{space 3} 2.131067
{txt}{space 16}MS  {c |}{col 21}{res}{space 2} 1.946592{col 33}{space 2} .8522103{col 44}{space 1}    2.28{col 53}{space 3}0.022{col 61}{space 4} .2762903{col 74}{space 3} 3.616893
{txt}{space 16}NC  {c |}{col 21}{res}{space 2} .2835745{col 33}{space 2} .7079741{col 44}{space 1}    0.40{col 53}{space 3}0.689{col 61}{space 4}-1.104029{col 74}{space 3} 1.671178
{txt}{space 16}NJ  {c |}{col 21}{res}{space 2} 1.160894{col 33}{space 2} .7521997{col 44}{space 1}    1.54{col 53}{space 3}0.123{col 61}{space 4}-.3133907{col 74}{space 3} 2.635178
{txt}{space 16}NM  {c |}{col 21}{res}{space 2}  1.05242{col 33}{space 2} .9548153{col 44}{space 1}    1.10{col 53}{space 3}0.270{col 61}{space 4}-.8189835{col 74}{space 3} 2.923824
{txt}{space 16}NV  {c |}{col 21}{res}{space 2}-.3719918{col 33}{space 2} .8223499{col 44}{space 1}   -0.45{col 53}{space 3}0.651{col 61}{space 4}-1.983768{col 74}{space 3} 1.239784
{txt}{space 16}NY  {c |}{col 21}{res}{space 2} 1.114944{col 33}{space 2} .6874922{col 44}{space 1}    1.62{col 53}{space 3}0.105{col 61}{space 4}-.2325162{col 74}{space 3} 2.462404
{txt}{space 16}OH  {c |}{col 21}{res}{space 2} .8591825{col 33}{space 2} .7051866{col 44}{space 1}    1.22{col 53}{space 3}0.223{col 61}{space 4}-.5229578{col 74}{space 3} 2.241323
{txt}{space 16}OK  {c |}{col 21}{res}{space 2} .8528382{col 33}{space 2} .8528609{col 44}{space 1}    1.00{col 53}{space 3}0.317{col 61}{space 4}-.8187383{col 74}{space 3} 2.524415
{txt}{space 16}OR  {c |}{col 21}{res}{space 2} .1928106{col 33}{space 2}  .806159{col 44}{space 1}    0.24{col 53}{space 3}0.811{col 61}{space 4}-1.387232{col 74}{space 3} 1.772853
{txt}{space 16}PA  {c |}{col 21}{res}{space 2}-.2198909{col 33}{space 2} .7250307{col 44}{space 1}   -0.30{col 53}{space 3}0.762{col 61}{space 4}-1.640925{col 74}{space 3} 1.201143
{txt}{space 16}SC  {c |}{col 21}{res}{space 2}-1.042199{col 33}{space 2} 1.220733{col 44}{space 1}   -0.85{col 53}{space 3}0.393{col 61}{space 4}-3.434792{col 74}{space 3} 1.350394
{txt}{space 16}TN  {c |}{col 21}{res}{space 2} 1.042488{col 33}{space 2} .8019095{col 44}{space 1}    1.30{col 53}{space 3}0.194{col 61}{space 4} -.529226{col 74}{space 3} 2.614202
{txt}{space 16}TX  {c |}{col 21}{res}{space 2}  1.01321{col 33}{space 2} .6821385{col 44}{space 1}    1.49{col 53}{space 3}0.137{col 61}{space 4} -.323757{col 74}{space 3} 2.350177
{txt}{space 16}UT  {c |}{col 21}{res}{space 2} 1.729792{col 33}{space 2}  .872822{col 44}{space 1}    1.98{col 53}{space 3}0.047{col 61}{space 4} .0190926{col 74}{space 3} 3.440492
{txt}{space 16}VA  {c |}{col 21}{res}{space 2}-2.505021{col 33}{space 2} 1.205022{col 44}{space 1}   -2.08{col 53}{space 3}0.038{col 61}{space 4} -4.86682{col 74}{space 3}-.1432223
{txt}{space 16}WA  {c |}{col 21}{res}{space 2} .5413672{col 33}{space 2} .7840858{col 44}{space 1}    0.69{col 53}{space 3}0.490{col 61}{space 4}-.9954128{col 74}{space 3} 2.078147
{txt}{space 16}WI  {c |}{col 21}{res}{space 2} .4816849{col 33}{space 2} .7768818{col 44}{space 1}    0.62{col 53}{space 3}0.535{col 61}{space 4}-1.040975{col 74}{space 3} 2.004345
{txt}{space 16}WV  {c |}{col 21}{res}{space 2} 1.179496{col 33}{space 2} 1.058147{col 44}{space 1}    1.11{col 53}{space 3}0.265{col 61}{space 4} -.894433{col 74}{space 3} 3.253425
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}-.3596346{col 33}{space 2}  .827804{col 44}{space 1}   -0.43{col 53}{space 3}0.664{col 61}{space 4}-1.982101{col 74}{space 3} 1.262831
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}A_little           {col 21}{txt}{c |}  (base outcome)
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}A_lot               {txt}{c |}
{space 12}pid3alt {c |}
{space 8}Republican  {c |}{col 21}{res}{space 2} .0513958{col 33}{space 2} .1457368{col 44}{space 1}    0.35{col 53}{space 3}0.724{col 61}{space 4}-.2342432{col 74}{space 3} .3370348
{txt}state_control_match {c |}{col 21}{res}{space 2} .4882566{col 33}{space 2}  .163164{col 44}{space 1}    2.99{col 53}{space 3}0.003{col 61}{space 4}  .168461{col 74}{space 3} .8080522
{txt}{space 19} {c |}
{space 6}trust_nondiff {c |}
{space 5}Straightlined  {c |}{col 21}{res}{space 2}-.5135668{col 33}{space 2} .1521843{col 44}{space 1}   -3.37{col 53}{space 3}0.001{col 61}{space 4}-.8118425{col 74}{space 3} -.215291
{txt}{space 16}age {c |}{col 21}{res}{space 2}-.0272663{col 33}{space 2} .0234744{col 44}{space 1}   -1.16{col 53}{space 3}0.245{col 61}{space 4}-.0732752{col 74}{space 3} .0187427
{txt}{space 19} {c |}
{space 8}c.age#c.age {c |}{col 21}{res}{space 2} .0002955{col 33}{space 2} .0002415{col 44}{space 1}    1.22{col 53}{space 3}0.221{col 61}{space 4}-.0001779{col 74}{space 3} .0007689
{txt}{space 19} {c |}
{space 12}college {c |}{col 21}{res}{space 2} .1440216{col 33}{space 2}  .134901{col 44}{space 1}    1.07{col 53}{space 3}0.286{col 61}{space 4}-.1203796{col 74}{space 3} .4084228
{txt}{space 13}female {c |}{col 21}{res}{space 2}-.0865613{col 33}{space 2} .1325184{col 44}{space 1}   -0.65{col 53}{space 3}0.514{col 61}{space 4}-.3462926{col 74}{space 3} .1731699
{txt}{space 14}white {c |}{col 21}{res}{space 2}-.0986502{col 33}{space 2} .1606943{col 44}{space 1}   -0.61{col 53}{space 3}0.539{col 61}{space 4}-.4136052{col 74}{space 3} .2163048
{txt}{space 11}hispanic {c |}{col 21}{res}{space 2} .1570309{col 33}{space 2} .1808535{col 44}{space 1}    0.87{col 53}{space 3}0.385{col 61}{space 4}-.1974354{col 74}{space 3} .5114973
{txt}{space 19} {c |}
{space 10}state_num {c |}
{space 16}AR  {c |}{col 21}{res}{space 2}  1.02399{col 33}{space 2}  1.29328{col 44}{space 1}    0.79{col 53}{space 3}0.428{col 61}{space 4}-1.510791{col 74}{space 3} 3.558772
{txt}{space 16}AZ  {c |}{col 21}{res}{space 2} 1.081829{col 33}{space 2} 1.173159{col 44}{space 1}    0.92{col 53}{space 3}0.356{col 61}{space 4}-1.217519{col 74}{space 3} 3.381178
{txt}{space 16}CA  {c |}{col 21}{res}{space 2} 1.941818{col 33}{space 2} 1.053609{col 44}{space 1}    1.84{col 53}{space 3}0.065{col 61}{space 4}-.1232173{col 74}{space 3} 4.006852
{txt}{space 16}CO  {c |}{col 21}{res}{space 2} 2.083995{col 33}{space 2} 1.138529{col 44}{space 1}    1.83{col 53}{space 3}0.067{col 61}{space 4}-.1474821{col 74}{space 3} 4.315471
{txt}{space 16}CT  {c |}{col 21}{res}{space 2}  2.35259{col 33}{space 2} 1.155652{col 44}{space 1}    2.04{col 53}{space 3}0.042{col 61}{space 4} .0875533{col 74}{space 3} 4.617627
{txt}{space 16}FL  {c |}{col 21}{res}{space 2} 1.734756{col 33}{space 2} 1.059004{col 44}{space 1}    1.64{col 53}{space 3}0.101{col 61}{space 4}-.3408538{col 74}{space 3} 3.810366
{txt}{space 16}GA  {c |}{col 21}{res}{space 2} 1.444502{col 33}{space 2} 1.089133{col 44}{space 1}    1.33{col 53}{space 3}0.185{col 61}{space 4}-.6901603{col 74}{space 3} 3.579164
{txt}{space 16}IL  {c |}{col 21}{res}{space 2} 2.071947{col 33}{space 2} 1.071841{col 44}{space 1}    1.93{col 53}{space 3}0.053{col 61}{space 4}-.0288224{col 74}{space 3} 4.172717
{txt}{space 16}IN  {c |}{col 21}{res}{space 2}-.1684563{col 33}{space 2} 1.459431{col 44}{space 1}   -0.12{col 53}{space 3}0.908{col 61}{space 4}-3.028889{col 74}{space 3} 2.691977
{txt}{space 16}KS  {c |}{col 21}{res}{space 2} 2.574841{col 33}{space 2} 1.130002{col 44}{space 1}    2.28{col 53}{space 3}0.023{col 61}{space 4} .3600775{col 74}{space 3} 4.789605
{txt}{space 16}KY  {c |}{col 21}{res}{space 2} 2.796904{col 33}{space 2} 1.115588{col 44}{space 1}    2.51{col 53}{space 3}0.012{col 61}{space 4} .6103906{col 74}{space 3} 4.983417
{txt}{space 16}LA  {c |}{col 21}{res}{space 2} 2.477309{col 33}{space 2} 1.159216{col 44}{space 1}    2.14{col 53}{space 3}0.033{col 61}{space 4} .2052865{col 74}{space 3} 4.749331
{txt}{space 16}MA  {c |}{col 21}{res}{space 2} 1.472853{col 33}{space 2} 1.184295{col 44}{space 1}    1.24{col 53}{space 3}0.214{col 61}{space 4}-.8483224{col 74}{space 3} 3.794029
{txt}{space 16}MD  {c |}{col 21}{res}{space 2}  1.41421{col 33}{space 2} 1.185877{col 44}{space 1}    1.19{col 53}{space 3}0.233{col 61}{space 4}-.9100656{col 74}{space 3} 3.738485
{txt}{space 16}MI  {c |}{col 21}{res}{space 2} 1.917187{col 33}{space 2} 1.086986{col 44}{space 1}    1.76{col 53}{space 3}0.078{col 61}{space 4}-.2132663{col 74}{space 3} 4.047641
{txt}{space 16}MN  {c |}{col 21}{res}{space 2} 1.157359{col 33}{space 2} 1.219002{col 44}{space 1}    0.95{col 53}{space 3}0.342{col 61}{space 4}-1.231841{col 74}{space 3} 3.546559
{txt}{space 16}MO  {c |}{col 21}{res}{space 2} .7379347{col 33}{space 2} 1.205537{col 44}{space 1}    0.61{col 53}{space 3}0.540{col 61}{space 4}-1.624875{col 74}{space 3} 3.100745
{txt}{space 16}MS  {c |}{col 21}{res}{space 2} 1.344604{col 33}{space 2} 1.310292{col 44}{space 1}    1.03{col 53}{space 3}0.305{col 61}{space 4} -1.22352{col 74}{space 3} 3.912728
{txt}{space 16}NC  {c |}{col 21}{res}{space 2} 1.378778{col 33}{space 2} 1.120413{col 44}{space 1}    1.23{col 53}{space 3}0.218{col 61}{space 4}-.8171907{col 74}{space 3} 3.574746
{txt}{space 16}NJ  {c |}{col 21}{res}{space 2} 2.124597{col 33}{space 2} 1.092894{col 44}{space 1}    1.94{col 53}{space 3}0.052{col 61}{space 4}-.0174345{col 74}{space 3}  4.26663
{txt}{space 16}NM  {c |}{col 21}{res}{space 2} 2.518366{col 33}{space 2} 1.209575{col 44}{space 1}    2.08{col 53}{space 3}0.037{col 61}{space 4}  .147642{col 74}{space 3}  4.88909
{txt}{space 16}NV  {c |}{col 21}{res}{space 2} 1.797253{col 33}{space 2} 1.143373{col 44}{space 1}    1.57{col 53}{space 3}0.116{col 61}{space 4}-.4437162{col 74}{space 3} 4.038222
{txt}{space 16}NY  {c |}{col 21}{res}{space 2} 1.755895{col 33}{space 2} 1.065056{col 44}{space 1}    1.65{col 53}{space 3}0.099{col 61}{space 4}-.3315763{col 74}{space 3} 3.843366
{txt}{space 16}OH  {c |}{col 21}{res}{space 2} 1.385704{col 33}{space 2} 1.089276{col 44}{space 1}    1.27{col 53}{space 3}0.203{col 61}{space 4}-.7492386{col 74}{space 3} 3.520646
{txt}{space 16}OK  {c |}{col 21}{res}{space 2} 1.865444{col 33}{space 2} 1.168408{col 44}{space 1}    1.60{col 53}{space 3}0.110{col 61}{space 4} -.424594{col 74}{space 3} 4.155482
{txt}{space 16}OR  {c |}{col 21}{res}{space 2}  1.61107{col 33}{space 2} 1.124025{col 44}{space 1}    1.43{col 53}{space 3}0.152{col 61}{space 4}-.5919796{col 74}{space 3} 3.814119
{txt}{space 16}PA  {c |}{col 21}{res}{space 2}  2.53325{col 33}{space 2} 1.071463{col 44}{space 1}    2.36{col 53}{space 3}0.018{col 61}{space 4} .4332216{col 74}{space 3} 4.633278
{txt}{space 16}SC  {c |}{col 21}{res}{space 2}-.3174928{col 33}{space 2} 1.459138{col 44}{space 1}   -0.22{col 53}{space 3}0.828{col 61}{space 4} -3.17735{col 74}{space 3} 2.542364
{txt}{space 16}TN  {c |}{col 21}{res}{space 2}  2.05126{col 33}{space 2} 1.124634{col 44}{space 1}    1.82{col 53}{space 3}0.068{col 61}{space 4}-.1529826{col 74}{space 3} 4.255502
{txt}{space 16}TX  {c |}{col 21}{res}{space 2} 1.929324{col 33}{space 2} 1.056999{col 44}{space 1}    1.83{col 53}{space 3}0.068{col 61}{space 4}-.1423558{col 74}{space 3} 4.001004
{txt}{space 16}UT  {c |}{col 21}{res}{space 2}    1.717{col 33}{space 2} 1.246518{col 44}{space 1}    1.38{col 53}{space 3}0.168{col 61}{space 4}-.7261301{col 74}{space 3} 4.160131
{txt}{space 16}VA  {c |}{col 21}{res}{space 2} 1.064717{col 33}{space 2} 1.147932{col 44}{space 1}    0.93{col 53}{space 3}0.354{col 61}{space 4}-1.185189{col 74}{space 3} 3.314623
{txt}{space 16}WA  {c |}{col 21}{res}{space 2} 1.418193{col 33}{space 2} 1.137031{col 44}{space 1}    1.25{col 53}{space 3}0.212{col 61}{space 4}-.8103458{col 74}{space 3} 3.646732
{txt}{space 16}WI  {c |}{col 21}{res}{space 2} .3092061{col 33}{space 2} 1.468286{col 44}{space 1}    0.21{col 53}{space 3}0.833{col 61}{space 4}-2.568581{col 74}{space 3} 3.186993
{txt}{space 16}WV  {c |}{col 21}{res}{space 2} .8265305{col 33}{space 2} 1.498551{col 44}{space 1}    0.55{col 53}{space 3}0.581{col 61}{space 4}-2.110576{col 74}{space 3} 3.763637
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}-2.320492{col 33}{space 2}  1.17071{col 44}{space 1}   -1.98{col 53}{space 3}0.047{col 61}{space 4}-4.615042{col 74}{space 3}-.0259418
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. * Republicans more likely to indicate no trust at all compared to Democrats
. * when dropping independents and lean-partisans
. 
. mlogit trust_state_num i.pid3 state_control_match i.trust_nondiff c.age##c.age college female white hispanic i.state_num if small_state == 0 & pid3 != 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-1329.2365}  
Iteration 1:{space 2}Log likelihood = {res:-1218.5162}  
Iteration 2:{space 2}Log likelihood = {res:-1211.2763}  
Iteration 3:{space 2}Log likelihood = {res:-1210.4366}  
Iteration 4:{space 2}Log likelihood = {res:-1210.2985}  
Iteration 5:{space 2}Log likelihood = {res:-1210.2664}  
Iteration 6:{space 2}Log likelihood = {res:-1210.2586}  
Iteration 7:{space 2}Log likelihood = {res:-1210.2571}  
Iteration 8:{space 2}Log likelihood = {res:-1210.2568}  
Iteration 9:{space 2}Log likelihood = {res:-1210.2567}  
Iteration 10:{space 1}Log likelihood = {res:-1210.2567}  
{res}
{txt}{col 1}Multinomial logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:1,342}
{txt}{col 57}{lalign 13:LR chi2({res:88})}{col 70} = {res}{ralign 6:237.96}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-1210.2567}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0895}

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    trust_state_num{col 21}{c |} Coefficient{col 33}  Std. err.{col 45}      z{col 53}   P>|z|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}None_at_all         {txt}{c |}
{space 15}pid3 {c |}
{space 8}Republican  {c |}{col 21}{res}{space 2} .4159308{col 33}{space 2} .1618845{col 44}{space 1}    2.57{col 53}{space 3}0.010{col 61}{space 4}  .098643{col 74}{space 3} .7332186
{txt}state_control_match {c |}{col 21}{res}{space 2}-1.370796{col 33}{space 2} .1755592{col 44}{space 1}   -7.81{col 53}{space 3}0.000{col 61}{space 4}-1.714886{col 74}{space 3}-1.026706
{txt}{space 19} {c |}
{space 6}trust_nondiff {c |}
{space 5}Straightlined  {c |}{col 21}{res}{space 2}-.0622561{col 33}{space 2} .1603727{col 44}{space 1}   -0.39{col 53}{space 3}0.698{col 61}{space 4}-.3765808{col 74}{space 3} .2520686
{txt}{space 16}age {c |}{col 21}{res}{space 2}-.0012987{col 33}{space 2} .0266467{col 44}{space 1}   -0.05{col 53}{space 3}0.961{col 61}{space 4}-.0535253{col 74}{space 3} .0509278
{txt}{space 19} {c |}
{space 8}c.age#c.age {c |}{col 21}{res}{space 2}-7.20e-06{col 33}{space 2} .0002779{col 44}{space 1}   -0.03{col 53}{space 3}0.979{col 61}{space 4}-.0005519{col 74}{space 3} .0005375
{txt}{space 19} {c |}
{space 12}college {c |}{col 21}{res}{space 2}-.3514261{col 33}{space 2} .1590269{col 44}{space 1}   -2.21{col 53}{space 3}0.027{col 61}{space 4}-.6631131{col 74}{space 3}-.0397392
{txt}{space 13}female {c |}{col 21}{res}{space 2}-.0816539{col 33}{space 2} .1510043{col 44}{space 1}   -0.54{col 53}{space 3}0.589{col 61}{space 4} -.377617{col 74}{space 3} .2143092
{txt}{space 14}white {c |}{col 21}{res}{space 2} -.125678{col 33}{space 2} .1871931{col 44}{space 1}   -0.67{col 53}{space 3}0.502{col 61}{space 4}-.4925697{col 74}{space 3} .2412137
{txt}{space 11}hispanic {c |}{col 21}{res}{space 2} .0339038{col 33}{space 2} .2086391{col 44}{space 1}    0.16{col 53}{space 3}0.871{col 61}{space 4}-.3750214{col 74}{space 3}  .442829
{txt}{space 19} {c |}
{space 10}state_num {c |}
{space 16}AR  {c |}{col 21}{res}{space 2} 1.169444{col 33}{space 2} 1.119949{col 44}{space 1}    1.04{col 53}{space 3}0.296{col 61}{space 4}-1.025617{col 74}{space 3} 3.364504
{txt}{space 16}AZ  {c |}{col 21}{res}{space 2}-.2267813{col 33}{space 2} .9200663{col 44}{space 1}   -0.25{col 53}{space 3}0.805{col 61}{space 4}-2.030078{col 74}{space 3} 1.576516
{txt}{space 16}CA  {c |}{col 21}{res}{space 2} 1.373326{col 33}{space 2} .8036783{col 44}{space 1}    1.71{col 53}{space 3}0.087{col 61}{space 4}-.2018548{col 74}{space 3} 2.948506
{txt}{space 16}CO  {c |}{col 21}{res}{space 2}-.1449465{col 33}{space 2} 1.104253{col 44}{space 1}   -0.13{col 53}{space 3}0.896{col 61}{space 4}-2.309242{col 74}{space 3} 2.019349
{txt}{space 16}CT  {c |}{col 21}{res}{space 2} .4733098{col 33}{space 2} 1.137813{col 44}{space 1}    0.42{col 53}{space 3}0.677{col 61}{space 4}-1.756763{col 74}{space 3} 2.703382
{txt}{space 16}FL  {c |}{col 21}{res}{space 2} 1.315685{col 33}{space 2} .8098433{col 44}{space 1}    1.62{col 53}{space 3}0.104{col 61}{space 4}-.2715789{col 74}{space 3} 2.902948
{txt}{space 16}GA  {c |}{col 21}{res}{space 2} .7933144{col 33}{space 2} .8421111{col 44}{space 1}    0.94{col 53}{space 3}0.346{col 61}{space 4} -.857193{col 74}{space 3} 2.443822
{txt}{space 16}IL  {c |}{col 21}{res}{space 2} .6844674{col 33}{space 2} .8628269{col 44}{space 1}    0.79{col 53}{space 3}0.428{col 61}{space 4}-1.006642{col 74}{space 3} 2.375577
{txt}{space 16}IN  {c |}{col 21}{res}{space 2} .8675424{col 33}{space 2} .9380277{col 44}{space 1}    0.92{col 53}{space 3}0.355{col 61}{space 4}-.9709582{col 74}{space 3} 2.706043
{txt}{space 16}KS  {c |}{col 21}{res}{space 2} .8561442{col 33}{space 2}  .932539{col 44}{space 1}    0.92{col 53}{space 3}0.359{col 61}{space 4}-.9715986{col 74}{space 3} 2.683887
{txt}{space 16}KY  {c |}{col 21}{res}{space 2}-.5894298{col 33}{space 2} 1.088596{col 44}{space 1}   -0.54{col 53}{space 3}0.588{col 61}{space 4}-2.723039{col 74}{space 3} 1.544179
{txt}{space 16}LA  {c |}{col 21}{res}{space 2} .7105785{col 33}{space 2}  .925154{col 44}{space 1}    0.77{col 53}{space 3}0.442{col 61}{space 4} -1.10269{col 74}{space 3} 2.523847
{txt}{space 16}MA  {c |}{col 21}{res}{space 2} 1.163971{col 33}{space 2} 1.026365{col 44}{space 1}    1.13{col 53}{space 3}0.257{col 61}{space 4}-.8476672{col 74}{space 3} 3.175609
{txt}{space 16}MD  {c |}{col 21}{res}{space 2} .8202126{col 33}{space 2} 1.054292{col 44}{space 1}    0.78{col 53}{space 3}0.437{col 61}{space 4}-1.246162{col 74}{space 3} 2.886587
{txt}{space 16}MI  {c |}{col 21}{res}{space 2} .3487313{col 33}{space 2}  .888135{col 44}{space 1}    0.39{col 53}{space 3}0.695{col 61}{space 4}-1.391981{col 74}{space 3} 2.089444
{txt}{space 16}MN  {c |}{col 21}{res}{space 2} .6563034{col 33}{space 2} .9884776{col 44}{space 1}    0.66{col 53}{space 3}0.507{col 61}{space 4}-1.281077{col 74}{space 3} 2.593684
{txt}{space 16}MO  {c |}{col 21}{res}{space 2} .9038027{col 33}{space 2} .9290724{col 44}{space 1}    0.97{col 53}{space 3}0.331{col 61}{space 4}-.9171456{col 74}{space 3} 2.724751
{txt}{space 16}MS  {c |}{col 21}{res}{space 2} 1.810692{col 33}{space 2} 1.017589{col 44}{space 1}    1.78{col 53}{space 3}0.075{col 61}{space 4}-.1837458{col 74}{space 3} 3.805131
{txt}{space 16}NC  {c |}{col 21}{res}{space 2} .6622922{col 33}{space 2} .8366513{col 44}{space 1}    0.79{col 53}{space 3}0.429{col 61}{space 4}-.9775143{col 74}{space 3} 2.302099
{txt}{space 16}NJ  {c |}{col 21}{res}{space 2} 1.414085{col 33}{space 2} .8748412{col 44}{space 1}    1.62{col 53}{space 3}0.106{col 61}{space 4}-.3005719{col 74}{space 3} 3.128743
{txt}{space 16}NM  {c |}{col 21}{res}{space 2} 1.212645{col 33}{space 2} 1.211475{col 44}{space 1}    1.00{col 53}{space 3}0.317{col 61}{space 4}-1.161803{col 74}{space 3} 3.587094
{txt}{space 16}NV  {c |}{col 21}{res}{space 2}-.0413358{col 33}{space 2} .9566185{col 44}{space 1}   -0.04{col 53}{space 3}0.966{col 61}{space 4}-1.916274{col 74}{space 3} 1.833602
{txt}{space 16}NY  {c |}{col 21}{res}{space 2} 1.375253{col 33}{space 2} .8116527{col 44}{space 1}    1.69{col 53}{space 3}0.090{col 61}{space 4}-.2155569{col 74}{space 3} 2.966063
{txt}{space 16}OH  {c |}{col 21}{res}{space 2} 1.173785{col 33}{space 2} .8340303{col 44}{space 1}    1.41{col 53}{space 3}0.159{col 61}{space 4}-.4608845{col 74}{space 3} 2.808454
{txt}{space 16}OK  {c |}{col 21}{res}{space 2} 1.373878{col 33}{space 2} .9930444{col 44}{space 1}    1.38{col 53}{space 3}0.167{col 61}{space 4}-.5724531{col 74}{space 3} 3.320209
{txt}{space 16}OR  {c |}{col 21}{res}{space 2} .3004169{col 33}{space 2} .9651028{col 44}{space 1}    0.31{col 53}{space 3}0.756{col 61}{space 4} -1.59115{col 74}{space 3} 2.191984
{txt}{space 16}PA  {c |}{col 21}{res}{space 2} .0646478{col 33}{space 2} .8647848{col 44}{space 1}    0.07{col 53}{space 3}0.940{col 61}{space 4}-1.630299{col 74}{space 3} 1.759595
{txt}{space 16}SC  {c |}{col 21}{res}{space 2}-.6893784{col 33}{space 2} 1.294099{col 44}{space 1}   -0.53{col 53}{space 3}0.594{col 61}{space 4}-3.225766{col 74}{space 3}  1.84701
{txt}{space 16}TN  {c |}{col 21}{res}{space 2} 1.327228{col 33}{space 2} .9213077{col 44}{space 1}    1.44{col 53}{space 3}0.150{col 61}{space 4}-.4785016{col 74}{space 3} 3.132958
{txt}{space 16}TX  {c |}{col 21}{res}{space 2} 1.289813{col 33}{space 2} .8070512{col 44}{space 1}    1.60{col 53}{space 3}0.110{col 61}{space 4} -.291978{col 74}{space 3} 2.871604
{txt}{space 16}UT  {c |}{col 21}{res}{space 2}  2.28632{col 33}{space 2} .9782028{col 44}{space 1}    2.34{col 53}{space 3}0.019{col 61}{space 4}  .369078{col 74}{space 3} 4.203563
{txt}{space 16}VA  {c |}{col 21}{res}{space 2}-15.01857{col 33}{space 2} 761.0127{col 44}{space 1}   -0.02{col 53}{space 3}0.984{col 61}{space 4}-1506.576{col 74}{space 3} 1476.539
{txt}{space 16}WA  {c |}{col 21}{res}{space 2} .9445382{col 33}{space 2}  .927341{col 44}{space 1}    1.02{col 53}{space 3}0.308{col 61}{space 4}-.8730168{col 74}{space 3} 2.762093
{txt}{space 16}WI  {c |}{col 21}{res}{space 2} .7336517{col 33}{space 2} .9254078{col 44}{space 1}    0.79{col 53}{space 3}0.428{col 61}{space 4}-1.080114{col 74}{space 3} 2.547418
{txt}{space 16}WV  {c |}{col 21}{res}{space 2} .9670761{col 33}{space 2} 1.361531{col 44}{space 1}    0.71{col 53}{space 3}0.478{col 61}{space 4}-1.701475{col 74}{space 3} 3.635627
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}-1.242378{col 33}{space 2}  .964028{col 44}{space 1}   -1.29{col 53}{space 3}0.197{col 61}{space 4}-3.131838{col 74}{space 3} .6470826
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}A_little           {col 21}{txt}{c |}  (base outcome)
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}A_lot               {txt}{c |}
{space 15}pid3 {c |}
{space 8}Republican  {c |}{col 21}{res}{space 2} .0925014{col 33}{space 2} .1595709{col 44}{space 1}    0.58{col 53}{space 3}0.562{col 61}{space 4}-.2202517{col 74}{space 3} .4052545
{txt}state_control_match {c |}{col 21}{res}{space 2} .5687567{col 33}{space 2} .1776247{col 44}{space 1}    3.20{col 53}{space 3}0.001{col 61}{space 4} .2206186{col 74}{space 3} .9168947
{txt}{space 19} {c |}
{space 6}trust_nondiff {c |}
{space 5}Straightlined  {c |}{col 21}{res}{space 2}-.4316845{col 33}{space 2} .1624755{col 44}{space 1}   -2.66{col 53}{space 3}0.008{col 61}{space 4}-.7501307{col 74}{space 3}-.1132383
{txt}{space 16}age {c |}{col 21}{res}{space 2}-.0252943{col 33}{space 2} .0256557{col 44}{space 1}   -0.99{col 53}{space 3}0.324{col 61}{space 4}-.0755785{col 74}{space 3} .0249898
{txt}{space 19} {c |}
{space 8}c.age#c.age {c |}{col 21}{res}{space 2} .0002943{col 33}{space 2} .0002641{col 44}{space 1}    1.11{col 53}{space 3}0.265{col 61}{space 4}-.0002234{col 74}{space 3}  .000812
{txt}{space 19} {c |}
{space 12}college {c |}{col 21}{res}{space 2} .0877996{col 33}{space 2} .1483642{col 44}{space 1}    0.59{col 53}{space 3}0.554{col 61}{space 4}-.2029889{col 74}{space 3} .3785882
{txt}{space 13}female {c |}{col 21}{res}{space 2}-.2328456{col 33}{space 2} .1461081{col 44}{space 1}   -1.59{col 53}{space 3}0.111{col 61}{space 4}-.5192122{col 74}{space 3} .0535211
{txt}{space 14}white {c |}{col 21}{res}{space 2}-.1716265{col 33}{space 2} .1803059{col 44}{space 1}   -0.95{col 53}{space 3}0.341{col 61}{space 4}-.5250196{col 74}{space 3} .1817666
{txt}{space 11}hispanic {c |}{col 21}{res}{space 2} .0775785{col 33}{space 2} .1960928{col 44}{space 1}    0.40{col 53}{space 3}0.692{col 61}{space 4}-.3067563{col 74}{space 3} .4619133
{txt}{space 19} {c |}
{space 10}state_num {c |}
{space 16}AR  {c |}{col 21}{res}{space 2}-13.77494{col 33}{space 2} 1298.212{col 44}{space 1}   -0.01{col 53}{space 3}0.992{col 61}{space 4}-2558.225{col 74}{space 3} 2530.675
{txt}{space 16}AZ  {c |}{col 21}{res}{space 2} 1.118789{col 33}{space 2} 1.181095{col 44}{space 1}    0.95{col 53}{space 3}0.344{col 61}{space 4}-1.196115{col 74}{space 3} 3.433693
{txt}{space 16}CA  {c |}{col 21}{res}{space 2} 2.012927{col 33}{space 2}  1.06162{col 44}{space 1}    1.90{col 53}{space 3}0.058{col 61}{space 4}-.0678098{col 74}{space 3} 4.093664
{txt}{space 16}CO  {c |}{col 21}{res}{space 2} 1.947015{col 33}{space 2}  1.17573{col 44}{space 1}    1.66{col 53}{space 3}0.098{col 61}{space 4}-.3573735{col 74}{space 3} 4.251404
{txt}{space 16}CT  {c |}{col 21}{res}{space 2} 1.965682{col 33}{space 2} 1.220975{col 44}{space 1}    1.61{col 53}{space 3}0.107{col 61}{space 4}-.4273854{col 74}{space 3} 4.358748
{txt}{space 16}FL  {c |}{col 21}{res}{space 2} 1.835039{col 33}{space 2} 1.068524{col 44}{space 1}    1.72{col 53}{space 3}0.086{col 61}{space 4}-.2592299{col 74}{space 3} 3.929309
{txt}{space 16}GA  {c |}{col 21}{res}{space 2} 1.363548{col 33}{space 2} 1.106658{col 44}{space 1}    1.23{col 53}{space 3}0.218{col 61}{space 4}-.8054615{col 74}{space 3} 3.532558
{txt}{space 16}IL  {c |}{col 21}{res}{space 2} 1.933483{col 33}{space 2} 1.091496{col 44}{space 1}    1.77{col 53}{space 3}0.076{col 61}{space 4}-.2058097{col 74}{space 3} 4.072775
{txt}{space 16}IN  {c |}{col 21}{res}{space 2}  .042272{col 33}{space 2} 1.469666{col 44}{space 1}    0.03{col 53}{space 3}0.977{col 61}{space 4}-2.838221{col 74}{space 3} 2.922765
{txt}{space 16}KS  {c |}{col 21}{res}{space 2} 2.814833{col 33}{space 2} 1.147146{col 44}{space 1}    2.45{col 53}{space 3}0.014{col 61}{space 4} .5664683{col 74}{space 3} 5.063198
{txt}{space 16}KY  {c |}{col 21}{res}{space 2} 2.594112{col 33}{space 2} 1.143109{col 44}{space 1}    2.27{col 53}{space 3}0.023{col 61}{space 4} .3536605{col 74}{space 3} 4.834564
{txt}{space 16}LA  {c |}{col 21}{res}{space 2}   2.2398{col 33}{space 2} 1.179658{col 44}{space 1}    1.90{col 53}{space 3}0.058{col 61}{space 4}-.0722874{col 74}{space 3} 4.551887
{txt}{space 16}MA  {c |}{col 21}{res}{space 2} 1.936572{col 33}{space 2} 1.264788{col 44}{space 1}    1.53{col 53}{space 3}0.126{col 61}{space 4}-.5423667{col 74}{space 3} 4.415511
{txt}{space 16}MD  {c |}{col 21}{res}{space 2} 1.127509{col 33}{space 2} 1.314098{col 44}{space 1}    0.86{col 53}{space 3}0.391{col 61}{space 4}-1.448076{col 74}{space 3} 3.703093
{txt}{space 16}MI  {c |}{col 21}{res}{space 2} 1.891127{col 33}{space 2} 1.097368{col 44}{space 1}    1.72{col 53}{space 3}0.085{col 61}{space 4}-.2596762{col 74}{space 3} 4.041929
{txt}{space 16}MN  {c |}{col 21}{res}{space 2} .9528916{col 33}{space 2} 1.298647{col 44}{space 1}    0.73{col 53}{space 3}0.463{col 61}{space 4}-1.592409{col 74}{space 3} 3.498192
{txt}{space 16}MO  {c |}{col 21}{res}{space 2} .8009336{col 33}{space 2} 1.215956{col 44}{space 1}    0.66{col 53}{space 3}0.510{col 61}{space 4}-1.582296{col 74}{space 3} 3.184163
{txt}{space 16}MS  {c |}{col 21}{res}{space 2} .6373047{col 33}{space 2} 1.502316{col 44}{space 1}    0.42{col 53}{space 3}0.671{col 61}{space 4}-2.307181{col 74}{space 3}  3.58179
{txt}{space 16}NC  {c |}{col 21}{res}{space 2}  1.44242{col 33}{space 2} 1.140288{col 44}{space 1}    1.26{col 53}{space 3}0.206{col 61}{space 4}-.7925027{col 74}{space 3} 3.677343
{txt}{space 16}NJ  {c |}{col 21}{res}{space 2} 1.863359{col 33}{space 2} 1.109495{col 44}{space 1}    1.68{col 53}{space 3}0.093{col 61}{space 4}-.3112103{col 74}{space 3} 4.037928
{txt}{space 16}NM  {c |}{col 21}{res}{space 2}  2.78431{col 33}{space 2} 1.251932{col 44}{space 1}    2.22{col 53}{space 3}0.026{col 61}{space 4} .3305682{col 74}{space 3} 5.238051
{txt}{space 16}NV  {c |}{col 21}{res}{space 2} 1.275895{col 33}{space 2} 1.224707{col 44}{space 1}    1.04{col 53}{space 3}0.298{col 61}{space 4}-1.124486{col 74}{space 3} 3.676276
{txt}{space 16}NY  {c |}{col 21}{res}{space 2} 1.742959{col 33}{space 2}  1.07337{col 44}{space 1}    1.62{col 53}{space 3}0.104{col 61}{space 4}-.3608078{col 74}{space 3} 3.846726
{txt}{space 16}OH  {c |}{col 21}{res}{space 2} 1.419162{col 33}{space 2} 1.102355{col 44}{space 1}    1.29{col 53}{space 3}0.198{col 61}{space 4}-.7414147{col 74}{space 3} 3.579739
{txt}{space 16}OK  {c |}{col 21}{res}{space 2} 2.026627{col 33}{space 2} 1.189024{col 44}{space 1}    1.70{col 53}{space 3}0.088{col 61}{space 4}-.3038176{col 74}{space 3} 4.357071
{txt}{space 16}OR  {c |}{col 21}{res}{space 2} 1.216203{col 33}{space 2} 1.182836{col 44}{space 1}    1.03{col 53}{space 3}0.304{col 61}{space 4}-1.102114{col 74}{space 3} 3.534519
{txt}{space 16}PA  {c |}{col 21}{res}{space 2} 2.764297{col 33}{space 2} 1.083435{col 44}{space 1}    2.55{col 53}{space 3}0.011{col 61}{space 4}  .640804{col 74}{space 3}  4.88779
{txt}{space 16}SC  {c |}{col 21}{res}{space 2}-.2980521{col 33}{space 2} 1.467607{col 44}{space 1}   -0.20{col 53}{space 3}0.839{col 61}{space 4}-3.174509{col 74}{space 3} 2.578405
{txt}{space 16}TN  {c |}{col 21}{res}{space 2}  1.96616{col 33}{space 2} 1.142857{col 44}{space 1}    1.72{col 53}{space 3}0.085{col 61}{space 4}-.2737984{col 74}{space 3} 4.206118
{txt}{space 16}TX  {c |}{col 21}{res}{space 2} 1.971869{col 33}{space 2} 1.065952{col 44}{space 1}    1.85{col 53}{space 3}0.064{col 61}{space 4}-.1173583{col 74}{space 3} 4.061096
{txt}{space 16}UT  {c |}{col 21}{res}{space 2} 1.355781{col 33}{space 2} 1.327672{col 44}{space 1}    1.02{col 53}{space 3}0.307{col 61}{space 4}-1.246408{col 74}{space 3} 3.957971
{txt}{space 16}VA  {c |}{col 21}{res}{space 2} 1.447649{col 33}{space 2} 1.160106{col 44}{space 1}    1.25{col 53}{space 3}0.212{col 61}{space 4}-.8261161{col 74}{space 3} 3.721415
{txt}{space 16}WA  {c |}{col 21}{res}{space 2} 1.581798{col 33}{space 2} 1.150418{col 44}{space 1}    1.37{col 53}{space 3}0.169{col 61}{space 4}-.6729804{col 74}{space 3} 3.836575
{txt}{space 16}WI  {c |}{col 21}{res}{space 2} .4912722{col 33}{space 2} 1.480262{col 44}{space 1}    0.33{col 53}{space 3}0.740{col 61}{space 4}-2.409988{col 74}{space 3} 3.392533
{txt}{space 16}WV  {c |}{col 21}{res}{space 2}-13.83749{col 33}{space 2} 1626.482{col 44}{space 1}   -0.01{col 53}{space 3}0.993{col 61}{space 4}-3201.683{col 74}{space 3} 3174.008
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}-2.245472{col 33}{space 2} 1.196422{col 44}{space 1}   -1.88{col 53}{space 3}0.061{col 61}{space 4}-4.590416{col 74}{space 3}  .099473
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. 
. * Republicans more likely to trust state more. Control of state makes respondents
. * more likely to trust state more and less likely to trust fed more. Republicans
. * less likely to trust state more. Drops leaners and independents
. 
. mlogit trust_fed_more i.pid3 state_control_match i.trust_nondiff c.age##c.age college female white hispanic if small_state == 0 & pid3 != 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-1194.0991}  
Iteration 1:{space 2}Log likelihood = {res:-921.62321}  
Iteration 2:{space 2}Log likelihood = {res:-878.67906}  
Iteration 3:{space 2}Log likelihood = {res:-869.53062}  
Iteration 4:{space 2}Log likelihood = {res:-867.84114}  
Iteration 5:{space 2}Log likelihood = {res:-867.54353}  
Iteration 6:{space 2}Log likelihood = {res:-867.47609}  
Iteration 7:{space 2}Log likelihood = {res:-867.45957}  
Iteration 8:{space 2}Log likelihood = {res: -867.4562}  
Iteration 9:{space 2}Log likelihood = {res:-867.45549}  
Iteration 10:{space 1}Log likelihood = {res:-867.45532}  
Iteration 11:{space 1}Log likelihood = {res:-867.45528}  
{res}
{txt}{col 1}Multinomial logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:1,347}
{txt}{col 57}{lalign 13:LR chi2({res:18})}{col 70} = {res}{ralign 6:653.29}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-867.45528}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.2735}

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     trust_fed_more{col 21}{c |} Coefficient{col 33}  Std. err.{col 45}      z{col 53}   P>|z|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Trust_State_More    {txt}{c |}
{space 15}pid3 {c |}
{space 8}Republican  {c |}{col 21}{res}{space 2} .4234121{col 33}{space 2} .1576553{col 44}{space 1}    2.69{col 53}{space 3}0.007{col 61}{space 4} .1144134{col 74}{space 3} .7324108
{txt}state_control_match {c |}{col 21}{res}{space 2} .7903801{col 33}{space 2} .1497047{col 44}{space 1}    5.28{col 53}{space 3}0.000{col 61}{space 4} .4969644{col 74}{space 3} 1.083796
{txt}{space 19} {c |}
{space 6}trust_nondiff {c |}
{space 5}Straightlined  {c |}{col 21}{res}{space 2}-17.92801{col 33}{space 2} 388.0107{col 44}{space 1}   -0.05{col 53}{space 3}0.963{col 61}{space 4} -778.415{col 74}{space 3} 742.5589
{txt}{space 16}age {c |}{col 21}{res}{space 2}-.0430646{col 33}{space 2} .0268371{col 44}{space 1}   -1.60{col 53}{space 3}0.109{col 61}{space 4}-.0956643{col 74}{space 3} .0095352
{txt}{space 19} {c |}
{space 8}c.age#c.age {c |}{col 21}{res}{space 2} .0005365{col 33}{space 2} .0002746{col 44}{space 1}    1.95{col 53}{space 3}0.051{col 61}{space 4}-1.76e-06{col 74}{space 3} .0010747
{txt}{space 19} {c |}
{space 12}college {c |}{col 21}{res}{space 2}-.0668386{col 33}{space 2} .1534957{col 44}{space 1}   -0.44{col 53}{space 3}0.663{col 61}{space 4}-.3676846{col 74}{space 3} .2340075
{txt}{space 13}female {c |}{col 21}{res}{space 2} .1001853{col 33}{space 2} .1486463{col 44}{space 1}    0.67{col 53}{space 3}0.500{col 61}{space 4}-.1911561{col 74}{space 3} .3915268
{txt}{space 14}white {c |}{col 21}{res}{space 2} .0485315{col 33}{space 2} .1949776{col 44}{space 1}    0.25{col 53}{space 3}0.803{col 61}{space 4}-.3336177{col 74}{space 3} .4306806
{txt}{space 11}hispanic {c |}{col 21}{res}{space 2}-.4386813{col 33}{space 2} .2196833{col 44}{space 1}   -2.00{col 53}{space 3}0.046{col 61}{space 4}-.8692526{col 74}{space 3}  -.00811
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .0080989{col 33}{space 2} .6105375{col 44}{space 1}    0.01{col 53}{space 3}0.989{col 61}{space 4}-1.188533{col 74}{space 3}  1.20473
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Trust_Equally      {col 21}{txt}{c |}  (base outcome)
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Trust_Fed_More      {txt}{c |}
{space 15}pid3 {c |}
{space 8}Republican  {c |}{col 21}{res}{space 2}-.7837618{col 33}{space 2} .2177227{col 44}{space 1}   -3.60{col 53}{space 3}0.000{col 61}{space 4} -1.21049{col 74}{space 3}-.3570331
{txt}state_control_match {c |}{col 21}{res}{space 2}-.7166773{col 33}{space 2} .2261956{col 44}{space 1}   -3.17{col 53}{space 3}0.002{col 61}{space 4}-1.160012{col 74}{space 3}-.2733422
{txt}{space 19} {c |}
{space 6}trust_nondiff {c |}
{space 5}Straightlined  {c |}{col 21}{res}{space 2}-17.90106{col 33}{space 2} 615.2948{col 44}{space 1}   -0.03{col 53}{space 3}0.977{col 61}{space 4}-1223.857{col 74}{space 3} 1188.055
{txt}{space 16}age {c |}{col 21}{res}{space 2}-.0293994{col 33}{space 2} .0362866{col 44}{space 1}   -0.81{col 53}{space 3}0.418{col 61}{space 4}-.1005197{col 74}{space 3}  .041721
{txt}{space 19} {c |}
{space 8}c.age#c.age {c |}{col 21}{res}{space 2} .0003106{col 33}{space 2} .0003798{col 44}{space 1}    0.82{col 53}{space 3}0.414{col 61}{space 4}-.0004339{col 74}{space 3}  .001055
{txt}{space 19} {c |}
{space 12}college {c |}{col 21}{res}{space 2}-.0737002{col 33}{space 2} .2104091{col 44}{space 1}   -0.35{col 53}{space 3}0.726{col 61}{space 4}-.4860945{col 74}{space 3} .3386942
{txt}{space 13}female {c |}{col 21}{res}{space 2}-.1934142{col 33}{space 2} .2049749{col 44}{space 1}   -0.94{col 53}{space 3}0.345{col 61}{space 4}-.5951577{col 74}{space 3} .2083293
{txt}{space 14}white {c |}{col 21}{res}{space 2}-.0335817{col 33}{space 2} .2463436{col 44}{space 1}   -0.14{col 53}{space 3}0.892{col 61}{space 4}-.5164062{col 74}{space 3} .4492429
{txt}{space 11}hispanic {c |}{col 21}{res}{space 2} .3640755{col 33}{space 2} .2513776{col 44}{space 1}    1.45{col 53}{space 3}0.148{col 61}{space 4}-.1286156{col 74}{space 3} .8567666
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .1735844{col 33}{space 2} .8048969{col 44}{space 1}    0.22{col 53}{space 3}0.829{col 61}{space 4}-1.403985{col 74}{space 3} 1.751153
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 34 observations completely determined.{txt} Standard errors questionable.{p_end}

{com}. 
. ********************************************************************************
. ********************************************************************************
. ********************************************************************************
. *                                                               Experiment 1                                                               *
. ********************************************************************************
. ********************************************************************************
. ********************************************************************************
. 
. 
. * Summary Plot
. 
. gen prc1_DV_main_100 = prc1_DV_main_dichot * 100
{txt}(1,398 missing values generated)

{com}. 
. lab var  prc1_DV_main_100 "Exp. 1 Support"
{txt}
{com}. 
. clonevar prc1_treat_relations2 = prc1_treat_relations
{txt}(1,394 missing values generated)

{com}. lab def prc1_treat_relations2lab 1 "Expert says hostile" 2 "China says hostile" 3 "No PRC reaction"
{txt}
{com}. lab val prc1_treat_relations2 prc1_treat_relations2lab
{txt}
{com}. 
. graph hbar prc1_DV_main_100                                                                                                             ///
>                 , over(prc1_treat_relations2, label(labsize(vsmall)))                                   ///
>                 over(prc1_treat_level, label(angle(90) labsize(small)))                                 ///
>                 bar(1, color(black)) bar(2, color(black))                                                               ///
>                 yline(36.24, lcolor(gs12))                                                                                              ///
>                 blabel(total, format(%9.2f) position(inside) color(white))                              ///
>                 ytitle("Percent Supporting Restriction", size(vsmall))                                  ///
>                 title("{c -(}bf: A:{c )-} {c -(}it:Average Support by Treatment Category{c )-}"                             ///
>                         , size(small) span justification(left))                                                         ///
>                 name(g_exp1_summary, replace) fxsize(40)
{res}{txt}
{com}. 
.                 
.                 
. ********************************************************************************
. *                                                       Experiment 1: Main DV                                                      *
. ********************************************************************************
. 
. * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * 
. *                                                                       OLS                                                                               *
. * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * 
. 
. 
. ****** Demographics
. 
. reg prc1_DV_main_dichot ///
>                 i.prc1_treat_level i.prc1_treat_hostile i.prc1_treat_china                              ///
>                 i.prc1_mancheck `technical'     `demographics'                                                          ///
>                 , robust

{txt}Linear regression                               Number of obs     = {res}     1,004
                                                {txt}F(13, 990)        =  {res}     8.71
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1021
                                                {txt}Root MSE          =    {res}  .4582

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}       prc1_DV_main_dichot{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      t{col 60}   P>|t|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}prc1_treat_level {c |}
{space 18}Federal  {c |}{col 28}{res}{space 2} .0145871{col 40}{space 2} .0291959{col 51}{space 1}    0.50{col 60}{space 3}0.617{col 68}{space 4}-.0427058{col 81}{space 3} .0718799
{txt}{space 26} {c |}
{space 8}prc1_treat_hostile {c |}
{space 18}Hostile  {c |}{col 28}{res}{space 2}-.0095205{col 40}{space 2} .0378734{col 51}{space 1}   -0.25{col 60}{space 3}0.802{col 68}{space 4}-.0838418{col 81}{space 3} .0648008
{txt}{space 26} {c |}
{space 10}prc1_treat_china {c |}
{space 10}China expresses  {c |}{col 28}{res}{space 2}-.0192794{col 40}{space 2}   .03525{col 51}{space 1}   -0.55{col 60}{space 3}0.585{col 68}{space 4}-.0884527{col 81}{space 3} .0498939
{txt}{space 26} {c |}
{space 13}prc1_mancheck {c |}
Passed manipulation check  {c |}{col 28}{res}{space 2} .0245985{col 40}{space 2} .0308801{col 51}{space 1}    0.80{col 60}{space 3}0.426{col 68}{space 4}-.0359995{col 81}{space 3} .0851965
{txt}{space 26} {c |}
{space 20}mobile {c |}
{space 19}Mobile  {c |}{col 28}{res}{space 2}-.0218648{col 40}{space 2} .0316332{col 51}{space 1}   -0.69{col 60}{space 3}0.490{col 68}{space 4}-.0839405{col 81}{space 3}  .040211
{txt}{space 23}age {c |}{col 28}{res}{space 2}-.0025421{col 40}{space 2} .0051941{col 51}{space 1}   -0.49{col 60}{space 3}0.625{col 68}{space 4}-.0127348{col 81}{space 3} .0076506
{txt}{space 26} {c |}
{space 15}c.age#c.age {c |}{col 28}{res}{space 2} .0000459{col 40}{space 2} .0000551{col 51}{space 1}    0.83{col 60}{space 3}0.404{col 68}{space 4}-.0000621{col 81}{space 3}  .000154
{txt}{space 26} {c |}
{space 20}female {c |}{col 28}{res}{space 2}-.0295828{col 40}{space 2} .0293423{col 51}{space 1}   -1.01{col 60}{space 3}0.314{col 68}{space 4} -.087163{col 81}{space 3} .0279973
{txt}{space 21}white {c |}{col 28}{res}{space 2} .0381702{col 40}{space 2} .0337926{col 51}{space 1}    1.13{col 60}{space 3}0.259{col 68}{space 4}-.0281432{col 81}{space 3} .1044837
{txt}{space 18}hispanic {c |}{col 28}{res}{space 2} .0098592{col 40}{space 2}  .040731{col 51}{space 1}    0.24{col 60}{space 3}0.809{col 68}{space 4}-.0700699{col 81}{space 3} .0897883
{txt}{space 19}college {c |}{col 28}{res}{space 2} .0303715{col 40}{space 2} .0305485{col 51}{space 1}    0.99{col 60}{space 3}0.320{col 68}{space 4}-.0295757{col 81}{space 3} .0903187
{txt}{space 26} {c |}
{space 19}pid3alt {c |}
{space 14}Independent  {c |}{col 28}{res}{space 2}-.0195273{col 40}{space 2} .0445178{col 51}{space 1}   -0.44{col 60}{space 3}0.661{col 68}{space 4}-.1068874{col 81}{space 3} .0678327
{txt}{space 15}Republican  {c |}{col 28}{res}{space 2} .2723241{col 40}{space 2} .0321008{col 51}{space 1}    8.48{col 60}{space 3}0.000{col 68}{space 4} .2093307{col 81}{space 3} .3353175
{txt}{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2} .2250078{col 40}{space 2} .1160356{col 51}{space 1}    1.94{col 60}{space 3}0.053{col 68}{space 4}-.0026962{col 81}{space 3} .4527119
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. est sto prc1_m2_ols
{txt}
{com}. local prc1_m2_olsN = `e(N)'
{txt}
{com}. 
. 
. *** Basic Interaction, Federal x Trust
.                         
. reg prc1_DV_main_dichot ///
>                 i.prc1_treat_level##i.prc1_trust_level_more                                                     ///
>                 i.prc1_treat_hostile i.prc1_treat_china                                                                 ///
>                 i.prc1_mancheck `technical'     `demographics'                                                          ///
>                 i.trust_fed_num i.trust_nondiff                                                                                 ///
>                 , robust

{txt}Linear regression                               Number of obs     = {res}       998
                                                {txt}F(20, 977)        =  {res}     8.13
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1361
                                                {txt}Root MSE          =    {res} .45138

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 40}{c |}{col 52}    Robust
{col 1}                   prc1_DV_main_dichot{col 40}{c |} Coefficient{col 52}  std. err.{col 64}      t{col 72}   P>|t|{col 80}     [95% con{col 93}f. interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 22}prc1_treat_level {c |}
{space 30}Federal  {c |}{col 40}{res}{space 2} .1061053{col 52}{space 2} .0813847{col 63}{space 1}    1.30{col 72}{space 3}0.193{col 80}{space 4}-.0536037{col 93}{space 3} .2658142
{txt}{space 38} {c |}
{space 17}prc1_trust_level_more {c |}
{space 22}Trusts the Same  {c |}{col 40}{res}{space 2} .0160241{col 52}{space 2} .0720388{col 63}{space 1}    0.22{col 72}{space 3}0.824{col 80}{space 4}-.1253445{col 93}{space 3} .1573927
{txt}{space 20}Trusts Level More  {c |}{col 40}{res}{space 2} .0277597{col 52}{space 2} .0798607{col 63}{space 1}    0.35{col 72}{space 3}0.728{col 80}{space 4}-.1289586{col 93}{space 3} .1844779
{txt}{space 38} {c |}
prc1_treat_level#prc1_trust_level_more {c |}
{space 14}Federal#Trusts the Same  {c |}{col 40}{res}{space 2}-.1206778{col 52}{space 2} .0895364{col 63}{space 1}   -1.35{col 72}{space 3}0.178{col 80}{space 4}-.2963836{col 93}{space 3} .0550279
{txt}{space 12}Federal#Trusts Level More  {c |}{col 40}{res}{space 2}-.0485602{col 52}{space 2} .1217825{col 63}{space 1}   -0.40{col 72}{space 3}0.690{col 80}{space 4}-.2875457{col 93}{space 3} .1904252
{txt}{space 38} {c |}
{space 20}prc1_treat_hostile {c |}
{space 30}Hostile  {c |}{col 40}{res}{space 2}     -.01{col 52}{space 2} .0376211{col 63}{space 1}   -0.27{col 72}{space 3}0.790{col 80}{space 4}-.0838275{col 93}{space 3} .0638275
{txt}{space 38} {c |}
{space 22}prc1_treat_china {c |}
{space 22}China expresses  {c |}{col 40}{res}{space 2}-.0234318{col 52}{space 2} .0349301{col 63}{space 1}   -0.67{col 72}{space 3}0.502{col 80}{space 4}-.0919784{col 93}{space 3} .0451148
{txt}{space 38} {c |}
{space 25}prc1_mancheck {c |}
{space 12}Passed manipulation check  {c |}{col 40}{res}{space 2}  .029693{col 52}{space 2} .0307471{col 63}{space 1}    0.97{col 72}{space 3}0.334{col 80}{space 4}-.0306448{col 93}{space 3} .0900309
{txt}{space 38} {c |}
{space 32}mobile {c |}
{space 31}Mobile  {c |}{col 40}{res}{space 2}-.0102992{col 52}{space 2} .0317592{col 63}{space 1}   -0.32{col 72}{space 3}0.746{col 80}{space 4}-.0726233{col 93}{space 3} .0520248
{txt}{space 35}age {c |}{col 40}{res}{space 2}-.0011493{col 52}{space 2} .0052041{col 63}{space 1}   -0.22{col 72}{space 3}0.825{col 80}{space 4}-.0113617{col 93}{space 3} .0090631
{txt}{space 38} {c |}
{space 27}c.age#c.age {c |}{col 40}{res}{space 2} .0000343{col 52}{space 2} .0000553{col 63}{space 1}    0.62{col 72}{space 3}0.536{col 80}{space 4}-.0000743{col 93}{space 3} .0001429
{txt}{space 38} {c |}
{space 32}female {c |}{col 40}{res}{space 2}-.0201821{col 52}{space 2} .0292157{col 63}{space 1}   -0.69{col 72}{space 3}0.490{col 80}{space 4}-.0775148{col 93}{space 3} .0371506
{txt}{space 33}white {c |}{col 40}{res}{space 2} .0255396{col 52}{space 2} .0332925{col 63}{space 1}    0.77{col 72}{space 3}0.443{col 80}{space 4}-.0397935{col 93}{space 3} .0908727
{txt}{space 30}hispanic {c |}{col 40}{res}{space 2} .0112356{col 52}{space 2} .0403814{col 63}{space 1}    0.28{col 72}{space 3}0.781{col 80}{space 4}-.0680087{col 93}{space 3} .0904799
{txt}{space 31}college {c |}{col 40}{res}{space 2} .0271756{col 52}{space 2} .0303298{col 63}{space 1}    0.90{col 72}{space 3}0.370{col 80}{space 4}-.0323434{col 93}{space 3} .0866946
{txt}{space 38} {c |}
{space 31}pid3alt {c |}
{space 26}Independent  {c |}{col 40}{res}{space 2} -.012212{col 52}{space 2} .0435135{col 63}{space 1}   -0.28{col 72}{space 3}0.779{col 80}{space 4}-.0976027{col 93}{space 3} .0731787
{txt}{space 27}Republican  {c |}{col 40}{res}{space 2} .2588425{col 52}{space 2} .0323769{col 63}{space 1}    7.99{col 72}{space 3}0.000{col 80}{space 4} .1953062{col 93}{space 3} .3223788
{txt}{space 38} {c |}
{space 25}trust_fed_num {c |}
{space 29}A little  {c |}{col 40}{res}{space 2}-.0830291{col 52}{space 2} .0344989{col 63}{space 1}   -2.41{col 72}{space 3}0.016{col 80}{space 4}-.1507295{col 93}{space 3}-.0153286
{txt}{space 32}A lot  {c |}{col 40}{res}{space 2} .1772443{col 52}{space 2}    .0564{col 63}{space 1}    3.14{col 72}{space 3}0.002{col 80}{space 4} .0665652{col 93}{space 3} .2879234
{txt}{space 38} {c |}
{space 25}trust_nondiff {c |}
{space 24}Straightlined  {c |}{col 40}{res}{space 2} .0097543{col 52}{space 2} .0360812{col 63}{space 1}    0.27{col 72}{space 3}0.787{col 80}{space 4}-.0610512{col 93}{space 3} .0805598
{txt}{space 33}_cons {c |}{col 40}{res}{space 2} .1858309{col 52}{space 2} .1349112{col 63}{space 1}    1.38{col 72}{space 3}0.169{col 80}{space 4}-.0789182{col 93}{space 3} .4505801
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. est sto prc1_m4_ols
{txt}
{com}. 
.                 
. reg prc1_DV_main_dichot ///
>                 i.prc1_treat_level##i.prc1_trust_level_more                                                     ///
>                 state_control_match ///
>                 i.prc1_treat_hostile i.prc1_treat_china                                                                 ///
>                 i.prc1_mancheck `technical'     `demographics'                                                          ///
>                 i.trust_fed_num i.trust_nondiff                                                                                 ///
>                 if small_state == 0 & pid3alt != 1, robust

{txt}Linear regression                               Number of obs     = {res}       856
                                                {txt}F(20, 835)        =  {res}     6.53
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1250
                                                {txt}Root MSE          =    {res} .46044

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 40}{c |}{col 52}    Robust
{col 1}                   prc1_DV_main_dichot{col 40}{c |} Coefficient{col 52}  std. err.{col 64}      t{col 72}   P>|t|{col 80}     [95% con{col 93}f. interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 22}prc1_treat_level {c |}
{space 30}Federal  {c |}{col 40}{res}{space 2} .1185976{col 52}{space 2}   .09031{col 63}{space 1}    1.31{col 72}{space 3}0.189{col 80}{space 4}-.0586638{col 93}{space 3} .2958589
{txt}{space 38} {c |}
{space 17}prc1_trust_level_more {c |}
{space 22}Trusts the Same  {c |}{col 40}{res}{space 2} .0397631{col 52}{space 2} .0789807{col 63}{space 1}    0.50{col 72}{space 3}0.615{col 80}{space 4} -.115261{col 93}{space 3} .1947872
{txt}{space 20}Trusts Level More  {c |}{col 40}{res}{space 2} .0258215{col 52}{space 2} .0875992{col 63}{space 1}    0.29{col 72}{space 3}0.768{col 80}{space 4}-.1461191{col 93}{space 3}  .197762
{txt}{space 38} {c |}
prc1_treat_level#prc1_trust_level_more {c |}
{space 14}Federal#Trusts the Same  {c |}{col 40}{res}{space 2}-.1294626{col 52}{space 2} .0990362{col 63}{space 1}   -1.31{col 72}{space 3}0.191{col 80}{space 4}-.3238517{col 93}{space 3} .0649265
{txt}{space 12}Federal#Trusts Level More  {c |}{col 40}{res}{space 2} .0287358{col 52}{space 2} .1378342{col 63}{space 1}    0.21{col 72}{space 3}0.835{col 80}{space 4}-.2418064{col 93}{space 3} .2992779
{txt}{space 38} {c |}
{space 19}state_control_match {c |}{col 40}{res}{space 2} .0288338{col 52}{space 2} .0330869{col 63}{space 1}    0.87{col 72}{space 3}0.384{col 80}{space 4}-.0361096{col 93}{space 3} .0937771
{txt}{space 38} {c |}
{space 20}prc1_treat_hostile {c |}
{space 30}Hostile  {c |}{col 40}{res}{space 2}-.0047431{col 52}{space 2} .0410253{col 63}{space 1}   -0.12{col 72}{space 3}0.908{col 80}{space 4} -.085268{col 93}{space 3} .0757817
{txt}{space 38} {c |}
{space 22}prc1_treat_china {c |}
{space 22}China expresses  {c |}{col 40}{res}{space 2}-.0172039{col 52}{space 2} .0387075{col 63}{space 1}   -0.44{col 72}{space 3}0.657{col 80}{space 4}-.0931794{col 93}{space 3} .0587717
{txt}{space 38} {c |}
{space 25}prc1_mancheck {c |}
{space 12}Passed manipulation check  {c |}{col 40}{res}{space 2} .0202861{col 52}{space 2} .0340083{col 63}{space 1}    0.60{col 72}{space 3}0.551{col 80}{space 4}-.0464657{col 93}{space 3}  .087038
{txt}{space 38} {c |}
{space 32}mobile {c |}
{space 31}Mobile  {c |}{col 40}{res}{space 2}-.0167259{col 52}{space 2} .0352641{col 63}{space 1}   -0.47{col 72}{space 3}0.635{col 80}{space 4}-.0859427{col 93}{space 3} .0524908
{txt}{space 35}age {c |}{col 40}{res}{space 2}-.0020656{col 52}{space 2} .0057172{col 63}{space 1}   -0.36{col 72}{space 3}0.718{col 80}{space 4}-.0132873{col 93}{space 3} .0091561
{txt}{space 38} {c |}
{space 27}c.age#c.age {c |}{col 40}{res}{space 2} .0000431{col 52}{space 2} .0000604{col 63}{space 1}    0.71{col 72}{space 3}0.476{col 80}{space 4}-.0000755{col 93}{space 3} .0001617
{txt}{space 38} {c |}
{space 32}female {c |}{col 40}{res}{space 2}-.0220532{col 52}{space 2} .0318427{col 63}{space 1}   -0.69{col 72}{space 3}0.489{col 80}{space 4}-.0845543{col 93}{space 3} .0404479
{txt}{space 33}white {c |}{col 40}{res}{space 2} .0224986{col 52}{space 2} .0372616{col 63}{space 1}    0.60{col 72}{space 3}0.546{col 80}{space 4}-.0506388{col 93}{space 3}  .095636
{txt}{space 30}hispanic {c |}{col 40}{res}{space 2}-.0011195{col 52}{space 2} .0430377{col 63}{space 1}   -0.03{col 72}{space 3}0.979{col 80}{space 4}-.0855943{col 93}{space 3} .0833553
{txt}{space 31}college {c |}{col 40}{res}{space 2} .0282881{col 52}{space 2} .0333484{col 63}{space 1}    0.85{col 72}{space 3}0.397{col 80}{space 4}-.0371684{col 93}{space 3} .0937446
{txt}{space 38} {c |}
{space 31}pid3alt {c |}
{space 27}Republican  {c |}{col 40}{res}{space 2} .2587467{col 52}{space 2} .0335021{col 63}{space 1}    7.72{col 72}{space 3}0.000{col 80}{space 4} .1929884{col 93}{space 3}  .324505
{txt}{space 38} {c |}
{space 25}trust_fed_num {c |}
{space 29}A little  {c |}{col 40}{res}{space 2}-.0878786{col 52}{space 2}  .038565{col 63}{space 1}   -2.28{col 72}{space 3}0.023{col 80}{space 4}-.1635743{col 93}{space 3}-.0121829
{txt}{space 32}A lot  {c |}{col 40}{res}{space 2}  .129294{col 52}{space 2} .0612345{col 63}{space 1}    2.11{col 72}{space 3}0.035{col 80}{space 4} .0091023{col 93}{space 3} .2494857
{txt}{space 38} {c |}
{space 25}trust_nondiff {c |}
{space 24}Straightlined  {c |}{col 40}{res}{space 2} -.003698{col 52}{space 2} .0405675{col 63}{space 1}   -0.09{col 72}{space 3}0.927{col 80}{space 4}-.0833244{col 93}{space 3} .0759283
{txt}{space 33}_cons {c |}{col 40}{res}{space 2} .1967983{col 52}{space 2} .1531886{col 63}{space 1}    1.28{col 72}{space 3}0.199{col 80}{space 4}-.1038818{col 93}{space 3} .4974784
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. est sto prc1_m4_ols_match
{txt}
{com}. 
. 
. *** Basic Interaction, Hostile x Threat
.         
. reg prc1_DV_main_dichot ///
>                 i.prc1_treat_level                                                      ///
>                 i.prc1_treat_hostile##i.threat_prc_num i.prc1_treat_china                               ///
>                 i.prc1_mancheck `technical'     `demographics'                                                          ///
>                 , robust

{txt}Linear regression                               Number of obs     = {res}       997
                                                {txt}F(17, 979)        =  {res}     9.31
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1274
                                                {txt}Root MSE          =    {res} .45305

{txt}{hline 34}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 35}{c |}{col 47}    Robust
{col 1}              prc1_DV_main_dichot{col 35}{c |} Coefficient{col 47}  std. err.{col 59}      t{col 67}   P>|t|{col 75}     [95% con{col 88}f. interval]
{hline 34}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}prc1_treat_level {c |}
{space 25}Federal  {c |}{col 35}{res}{space 2}  .012231{col 47}{space 2} .0289601{col 58}{space 1}    0.42{col 67}{space 3}0.673{col 75}{space 4}   -.0446{col 88}{space 3}  .069062
{txt}{space 33} {c |}
{space 15}prc1_treat_hostile {c |}
{space 25}Hostile  {c |}{col 35}{res}{space 2}-.1659305{col 47}{space 2} .1131957{col 58}{space 1}   -1.47{col 67}{space 3}0.143{col 75}{space 4}-.3880646{col 88}{space 3} .0562036
{txt}{space 33} {c |}
{space 19}threat_prc_num {c |}
{space 18}A minor threat  {c |}{col 35}{res}{space 2}-.2289623{col 47}{space 2}  .099168{col 58}{space 1}   -2.31{col 67}{space 3}0.021{col 75}{space 4}-.4235686{col 88}{space 3} -.034356
{txt}{space 18}A major threat  {c |}{col 35}{res}{space 2}-.0260812{col 47}{space 2} .0977774{col 58}{space 1}   -0.27{col 67}{space 3}0.790{col 75}{space 4}-.2179586{col 88}{space 3} .1657962
{txt}{space 33} {c |}
prc1_treat_hostile#threat_prc_num {c |}
{space 10}Hostile#A minor threat  {c |}{col 35}{res}{space 2} .2199193{col 47}{space 2} .1227211{col 58}{space 1}    1.79{col 67}{space 3}0.073{col 75}{space 4}-.0209074{col 88}{space 3} .4607459
{txt}{space 10}Hostile#A major threat  {c |}{col 35}{res}{space 2} .1649188{col 47}{space 2} .1198665{col 58}{space 1}    1.38{col 67}{space 3}0.169{col 75}{space 4}-.0703061{col 88}{space 3} .4001437
{txt}{space 33} {c |}
{space 17}prc1_treat_china {c |}
{space 17}China expresses  {c |}{col 35}{res}{space 2}-.0319923{col 47}{space 2} .0353651{col 58}{space 1}   -0.90{col 67}{space 3}0.366{col 75}{space 4}-.1013925{col 88}{space 3} .0374078
{txt}{space 33} {c |}
{space 20}prc1_mancheck {c |}
{space 7}Passed manipulation check  {c |}{col 35}{res}{space 2}  .029453{col 47}{space 2} .0309733{col 58}{space 1}    0.95{col 67}{space 3}0.342{col 75}{space 4}-.0313286{col 88}{space 3} .0902346
{txt}{space 33} {c |}
{space 27}mobile {c |}
{space 26}Mobile  {c |}{col 35}{res}{space 2}  -.02493{col 47}{space 2}  .031704{col 58}{space 1}   -0.79{col 67}{space 3}0.432{col 75}{space 4}-.0871456{col 88}{space 3} .0372856
{txt}{space 30}age {c |}{col 35}{res}{space 2}-.0039141{col 47}{space 2} .0052238{col 58}{space 1}   -0.75{col 67}{space 3}0.454{col 75}{space 4}-.0141654{col 88}{space 3} .0063371
{txt}{space 33} {c |}
{space 22}c.age#c.age {c |}{col 35}{res}{space 2} .0000489{col 47}{space 2} .0000551{col 58}{space 1}    0.89{col 67}{space 3}0.375{col 75}{space 4}-.0000592{col 88}{space 3} .0001571
{txt}{space 33} {c |}
{space 27}female {c |}{col 35}{res}{space 2}-.0285296{col 47}{space 2} .0291344{col 58}{space 1}   -0.98{col 67}{space 3}0.328{col 75}{space 4}-.0857027{col 88}{space 3} .0286434
{txt}{space 28}white {c |}{col 35}{res}{space 2} .0348037{col 47}{space 2} .0336308{col 58}{space 1}    1.03{col 67}{space 3}0.301{col 75}{space 4} -.031193{col 88}{space 3} .1008004
{txt}{space 25}hispanic {c |}{col 35}{res}{space 2} .0020061{col 47}{space 2} .0398506{col 58}{space 1}    0.05{col 67}{space 3}0.960{col 75}{space 4}-.0761964{col 88}{space 3} .0802086
{txt}{space 26}college {c |}{col 35}{res}{space 2} .0311011{col 47}{space 2} .0301265{col 58}{space 1}    1.03{col 67}{space 3}0.302{col 75}{space 4} -.028019{col 88}{space 3} .0902211
{txt}{space 33} {c |}
{space 26}pid3alt {c |}
{space 21}Independent  {c |}{col 35}{res}{space 2}-.0169449{col 47}{space 2} .0440067{col 58}{space 1}   -0.39{col 67}{space 3}0.700{col 75}{space 4}-.1033032{col 88}{space 3} .0694135
{txt}{space 22}Republican  {c |}{col 35}{res}{space 2} .2506768{col 47}{space 2} .0326185{col 58}{space 1}    7.69{col 67}{space 3}0.000{col 75}{space 4} .1866666{col 88}{space 3}  .314687
{txt}{space 33} {c |}
{space 28}_cons {c |}{col 35}{res}{space 2} .3782013{col 47}{space 2} .1400558{col 58}{space 1}    2.70{col 67}{space 3}0.007{col 75}{space 4} .1033572{col 88}{space 3} .6530455
{txt}{hline 34}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est sto prc1_m5_ols
{txt}
{com}. local prc1_m5_olsN = `e(N)'
{txt}
{com}. 
. *** Double Interaction, Federal x Trust
. 
. reg prc1_DV_main_dichot ///
>                 i.prc1_treat_level##i.prc1_trust_level_more                                                     ///
>                 i.prc1_treat_hostile##i.threat_prc_num i.prc1_treat_china                               ///
>                 i.prc1_mancheck `technical'     `demographics'                                                          ///
>                 i.trust_fed_num i.trust_nondiff                         ///
>                 , robust

{txt}Linear regression                               Number of obs     = {res}       997
                                                {txt}F(24, 972)        =  {res}     9.06
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1577
                                                {txt}Root MSE          =    {res} .44672

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 40}{c |}{col 52}    Robust
{col 1}                   prc1_DV_main_dichot{col 40}{c |} Coefficient{col 52}  std. err.{col 64}      t{col 72}   P>|t|{col 80}     [95% con{col 93}f. interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 22}prc1_treat_level {c |}
{space 30}Federal  {c |}{col 40}{res}{space 2} .0965322{col 52}{space 2} .0810633{col 63}{space 1}    1.19{col 72}{space 3}0.234{col 80}{space 4}-.0625469{col 93}{space 3} .2556114
{txt}{space 38} {c |}
{space 17}prc1_trust_level_more {c |}
{space 22}Trusts the Same  {c |}{col 40}{res}{space 2} .0046765{col 52}{space 2} .0710744{col 63}{space 1}    0.07{col 72}{space 3}0.948{col 80}{space 4}-.1348005{col 93}{space 3} .1441534
{txt}{space 20}Trusts Level More  {c |}{col 40}{res}{space 2} .0245617{col 52}{space 2} .0791244{col 63}{space 1}    0.31{col 72}{space 3}0.756{col 80}{space 4}-.1307126{col 93}{space 3} .1798361
{txt}{space 38} {c |}
prc1_treat_level#prc1_trust_level_more {c |}
{space 14}Federal#Trusts the Same  {c |}{col 40}{res}{space 2}-.1077812{col 52}{space 2} .0891435{col 63}{space 1}   -1.21{col 72}{space 3}0.227{col 80}{space 4}-.2827171{col 93}{space 3} .0671547
{txt}{space 12}Federal#Trusts Level More  {c |}{col 40}{res}{space 2}-.0557879{col 52}{space 2}  .122329{col 63}{space 1}   -0.46{col 72}{space 3}0.648{col 80}{space 4}-.2958473{col 93}{space 3} .1842715
{txt}{space 38} {c |}
{space 20}prc1_treat_hostile {c |}
{space 30}Hostile  {c |}{col 40}{res}{space 2}-.1792614{col 52}{space 2} .1154216{col 63}{space 1}   -1.55{col 72}{space 3}0.121{col 80}{space 4}-.4057657{col 93}{space 3} .0472428
{txt}{space 38} {c |}
{space 24}threat_prc_num {c |}
{space 23}A minor threat  {c |}{col 40}{res}{space 2}-.2033015{col 52}{space 2} .0990019{col 63}{space 1}   -2.05{col 72}{space 3}0.040{col 80}{space 4}-.3975835{col 93}{space 3}-.0090195
{txt}{space 23}A major threat  {c |}{col 40}{res}{space 2}-.0220065{col 52}{space 2}  .097431{col 63}{space 1}   -0.23{col 72}{space 3}0.821{col 80}{space 4}-.2132058{col 93}{space 3} .1691928
{txt}{space 38} {c |}
{space 5}prc1_treat_hostile#threat_prc_num {c |}
{space 15}Hostile#A minor threat  {c |}{col 40}{res}{space 2} .2233098{col 52}{space 2} .1246804{col 63}{space 1}    1.79{col 72}{space 3}0.074{col 80}{space 4}-.0213639{col 93}{space 3} .4679835
{txt}{space 15}Hostile#A major threat  {c |}{col 40}{res}{space 2} .1766984{col 52}{space 2} .1221204{col 63}{space 1}    1.45{col 72}{space 3}0.148{col 80}{space 4}-.0629516{col 93}{space 3} .4163483
{txt}{space 38} {c |}
{space 22}prc1_treat_china {c |}
{space 22}China expresses  {c |}{col 40}{res}{space 2}-.0346149{col 52}{space 2} .0349944{col 63}{space 1}   -0.99{col 72}{space 3}0.323{col 80}{space 4}-.1032881{col 93}{space 3} .0340583
{txt}{space 38} {c |}
{space 25}prc1_mancheck {c |}
{space 12}Passed manipulation check  {c |}{col 40}{res}{space 2} .0296661{col 52}{space 2} .0307665{col 63}{space 1}    0.96{col 72}{space 3}0.335{col 80}{space 4}-.0307103{col 93}{space 3} .0900426
{txt}{space 38} {c |}
{space 32}mobile {c |}
{space 31}Mobile  {c |}{col 40}{res}{space 2}-.0110373{col 52}{space 2} .0317316{col 63}{space 1}   -0.35{col 72}{space 3}0.728{col 80}{space 4}-.0733076{col 93}{space 3}  .051233
{txt}{space 35}age {c |}{col 40}{res}{space 2}-.0026056{col 52}{space 2} .0052128{col 63}{space 1}   -0.50{col 72}{space 3}0.617{col 80}{space 4}-.0128352{col 93}{space 3} .0076241
{txt}{space 38} {c |}
{space 27}c.age#c.age {c |}{col 40}{res}{space 2} .0000389{col 52}{space 2} .0000552{col 63}{space 1}    0.70{col 72}{space 3}0.481{col 80}{space 4}-.0000694{col 93}{space 3} .0001472
{txt}{space 38} {c |}
{space 32}female {c |}{col 40}{res}{space 2}-.0209625{col 52}{space 2} .0289447{col 63}{space 1}   -0.72{col 72}{space 3}0.469{col 80}{space 4}-.0777638{col 93}{space 3} .0358388
{txt}{space 33}white {c |}{col 40}{res}{space 2} .0250249{col 52}{space 2} .0332344{col 63}{space 1}    0.75{col 72}{space 3}0.452{col 80}{space 4}-.0401946{col 93}{space 3} .0902444
{txt}{space 30}hispanic {c |}{col 40}{res}{space 2} .0032643{col 52}{space 2} .0393634{col 63}{space 1}    0.08{col 72}{space 3}0.934{col 80}{space 4}-.0739827{col 93}{space 3} .0805113
{txt}{space 31}college {c |}{col 40}{res}{space 2} .0292773{col 52}{space 2} .0299107{col 63}{space 1}    0.98{col 72}{space 3}0.328{col 80}{space 4}-.0294197{col 93}{space 3} .0879744
{txt}{space 38} {c |}
{space 31}pid3alt {c |}
{space 26}Independent  {c |}{col 40}{res}{space 2}-.0096698{col 52}{space 2} .0428469{col 63}{space 1}   -0.23{col 72}{space 3}0.821{col 80}{space 4}-.0937529{col 93}{space 3} .0744134
{txt}{space 27}Republican  {c |}{col 40}{res}{space 2} .2407705{col 52}{space 2} .0327079{col 63}{space 1}    7.36{col 72}{space 3}0.000{col 80}{space 4} .1765842{col 93}{space 3} .3049567
{txt}{space 38} {c |}
{space 25}trust_fed_num {c |}
{space 29}A little  {c |}{col 40}{res}{space 2}-.0702878{col 52}{space 2}  .034559{col 63}{space 1}   -2.03{col 72}{space 3}0.042{col 80}{space 4}-.1381066{col 93}{space 3} -.002469
{txt}{space 32}A lot  {c |}{col 40}{res}{space 2} .1770676{col 52}{space 2}    .0557{col 63}{space 1}    3.18{col 72}{space 3}0.002{col 80}{space 4} .0677615{col 93}{space 3} .2863737
{txt}{space 38} {c |}
{space 25}trust_nondiff {c |}
{space 24}Straightlined  {c |}{col 40}{res}{space 2} .0195384{col 52}{space 2} .0357788{col 63}{space 1}    0.55{col 72}{space 3}0.585{col 80}{space 4}-.0506741{col 93}{space 3} .0897509
{txt}{space 33}_cons {c |}{col 40}{res}{space 2}  .325774{col 52}{space 2} .1542785{col 63}{space 1}    2.11{col 72}{space 3}0.035{col 80}{space 4} .0230166{col 93}{space 3} .6285314
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est sto prc1_m6_ols     
{txt}
{com}. 
. 
. *** OLS Coefficient Graph Experiment 1 (Short)
. coefplot                                                                                                                                        ///
>                 (prc1_m2_ols,label(Base (`prc1_m2_olsN')))                                                      ///
>                 (prc1_m5_ols    ,label(Interaction (`prc1_m5_olsN')))                           ///
>                 , xline(0,lcolor(black))                                                                                        ///
>                 order(*prc1_treat_level *prc1_treat_hostile *threat_prc_num *prc1_treat_hostile#*)              ///
>                 headings(2.prc1_treat_level = "{c -(}bf:Govt Level{c )-}"                                         ///
>                                 1.prc1_treat_hostile = "{c -(}bf:China Reaction{c )-}"                            ///
>                                 2.threat_prc_num = "{c -(}bf:View of China Threat{c )-}"                          ///
>                                 1.prc1_treat_hostile#2.threat_prc_num  = "{c -(}bf:Reaction x Threat{c )-}" ///
>                                 1.prc1_treat_china = "{c -(}bf:Cuegiver{c )-}"                                    ///
>                                 ?.prc1_mancheck = "{c -(}it:Covariates{c )-}"                                                     ///
>                                 )                                                                                                                       ///
>                 coeflabels(, interaction(" x ") labsize(small))                                         ///
>                 drop(*cons age *.prc1_mancheck age female white hispanic *.college      ///
>                         *.pid3alt *.mobile)                                                                                             ///
>                 name(g_exp1_olsshort,replace)                                                                           ///
>         title("{c -(}bf: B:{c )-} {c -(}it:Support for Restriction by PRC Reaction{c )-}" "{c -(}it:and Proposing Government{c )-}",  ///
>                         justification(left) span size(medsmall))                                                ///
>         xtitle("OLS Coefficients", size(small))                                                                 ///
>         legend(ring(0) pos(11) size(vsmall)  region(color(none)))                               ///
>         note("Full specification includes manipulation check, age, gender,ethnicity, education," "party ID, and survey mode.", size(vsmall) span)
{res}{txt}
{com}.                 
. * interpretation of the interaction term 
. 
. est restore prc1_m5_ols
{txt}(results {stata estimates replay prc1_m5_ols:prc1_m5_ols} are active now)

{com}. 
. margins prc1_treat_hostile#threat_prc_num
{res}
{txt}{col 1}Predictive margins{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:997}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 34}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 35}{c |}{col 47} Delta-method
{col 35}{c |}     Margin{col 47}   std. err.{col 59}      t{col 67}   P>|t|{col 75}     [95% con{col 88}f. interval]
{hline 34}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
prc1_treat_hostile#threat_prc_num {c |}
{space 9}Not Stated#Not a threat  {c |}{col 35}{res}{space 2} .4475973{col 47}{space 2}  .091187{col 58}{space 1}    4.91{col 67}{space 3}0.000{col 75}{space 4} .2686528{col 88}{space 3} .6265417
{txt}{space 7}Not Stated#A minor threat  {c |}{col 35}{res}{space 2}  .218635{col 47}{space 2} .0435607{col 58}{space 1}    5.02{col 67}{space 3}0.000{col 75}{space 4} .1331519{col 88}{space 3} .3041181
{txt}{space 7}Not Stated#A major threat  {c |}{col 35}{res}{space 2} .4215161{col 47}{space 2} .0375398{col 58}{space 1}   11.23{col 67}{space 3}0.000{col 75}{space 4} .3478484{col 88}{space 3} .4951838
{txt}{space 12}Hostile#Not a threat  {c |}{col 35}{res}{space 2} .2816668{col 47}{space 2} .0695418{col 58}{space 1}    4.05{col 67}{space 3}0.000{col 75}{space 4} .1451986{col 88}{space 3}  .418135
{txt}{space 10}Hostile#A minor threat  {c |}{col 35}{res}{space 2} .2726237{col 47}{space 2}  .028866{col 58}{space 1}    9.44{col 67}{space 3}0.000{col 75}{space 4} .2159774{col 88}{space 3} .3292701
{txt}{space 10}Hostile#A major threat  {c |}{col 35}{res}{space 2} .4205043{col 47}{space 2} .0252665{col 58}{space 1}   16.64{col 67}{space 3}0.000{col 75}{space 4} .3709217{col 88}{space 3}  .470087
{txt}{hline 34}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. mplotoffset     ///
>         , text(.37 .77 "Not a" "threat", color(cranberry))                                                      ///
>         text(.45 .5 "A major threat", color(gray))                                                                      ///
>         text(.2 .25 "A minor threat", color(eltblue))                                                           ///
>         name(g_exp1_olsinteraction, replace)  legend(off)                                                       ///
>         title("{c -(}bf: C:{c )-} {c -(}it:Predicted Support for Restriction by PRC Reaction{c )-}" "{c -(}it:and Threat Perception{c )-}", ///
>                 justification(left) span size(medsmall))                                                                ///
>         ytitle("Predicted share supporting restriction", size(vsmall)) fysize(40)       ///
>         note("Calculated from Interaction model in Panel B.", span size(vsmall))                        ///
>         ylab(.1 "10" .2 "20" .3 "30" .4 "40" .5 "50" .6 "60")                                           ///
>         plot1opts(lpattern(dash))

{text}{p 2 6 2}Variables that uniquely identify margins: prc1_treat_hostile threat_prc_num{p_end}
{res}{txt}
{com}.         
. 
. gr combine g_exp1_olsshort g_exp1_olsinteraction                                                                ///
>         , rows(2) name(g_temp, replace)
{res}{txt}
{com}.         
. gr combine g_exp1_summary g_temp                                                                                                ///
>         , rows(1)  xsize(9) ysize(10) 
{res}{txt}
{com}.         /// title("{c -(}bf:Experiment 1:{c )-} Hostile PRC reaction substantially cuts support" ///
>         /// "among respondents who do not view PRC as a threat."                                                        ///
>         /// , justification(left) size(medsmall)) xsize(9) ysize(10)
>         
. gr export "${c -(}MyProject{c )-}/PAPER Figure 3.pdf", replace
{txt}{p 0 4 2}
file {bf}
~/Dropbox/0001 Academic Projects/Completed/0171 Parasecurity and Education/Replication/PAPER Figure 3.pdf{rm}
saved as
PDF
format
{p_end}

{com}.         
.         
.         
. *** Focus on H2 and H2.1
. reg prc1_DV_main_dichot i.prc1_treat_level i.prc1_mancheck if fptreat2simple == "No Stance" & prc1_treat_hostile == 0

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       340
{txt}{hline 13}{c +}{hline 34}   F(2, 337)       = {res}     1.69
{txt}       Model {c |} {res} .792670186         2  .396335093   {txt}Prob > F        ={res}    0.1860
{txt}    Residual {c |} {res} 79.0190945       337  .234478025   {txt}R-squared       ={res}    0.0099
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0041
{txt}       Total {c |} {res} 79.8117647       339  .235432934   {txt}Root MSE        =   {res} .48423

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       prc1_DV_main_dichot{col 28}{c |} Coefficient{col 40}  Std. err.{col 52}      t{col 60}   P>|t|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}prc1_treat_level {c |}
{space 18}Federal  {c |}{col 28}{res}{space 2}  .079031{col 40}{space 2} .0528547{col 51}{space 1}    1.50{col 60}{space 3}0.136{col 68}{space 4}-.0249358{col 81}{space 3} .1829977
{txt}{space 26} {c |}
{space 13}prc1_mancheck {c |}
Passed manipulation check  {c |}{col 28}{res}{space 2}-.0682526{col 40}{space 2} .0578029{col 51}{space 1}   -1.18{col 60}{space 3}0.239{col 68}{space 4}-.1819525{col 81}{space 3} .0454473
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} .3883876{col 40}{space 2} .0528371{col 51}{space 1}    7.35{col 60}{space 3}0.000{col 68}{space 4} .2844555{col 81}{space 3} .4923197
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est sto exp1_m1_china1hostile0
{txt}
{com}. 
. reg prc1_DV_main_dichot i.prc1_treat_level i.prc1_mancheck if fptreat2simple == "Hostile" & prc1_treat_hostile == 1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       344
{txt}{hline 13}{c +}{hline 34}   F(2, 341)       = {res}     3.00
{txt}       Model {c |} {res} 1.34169743         2  .670848716   {txt}Prob > F        ={res}    0.0510
{txt}    Residual {c |} {res} 76.1815584       341   .22340633   {txt}R-squared       ={res}    0.0173
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0115
{txt}       Total {c |} {res} 77.5232558       343  .226015323   {txt}Root MSE        =   {res} .47266

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       prc1_DV_main_dichot{col 28}{c |} Coefficient{col 40}  Std. err.{col 52}      t{col 60}   P>|t|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}prc1_treat_level {c |}
{space 18}Federal  {c |}{col 28}{res}{space 2}-.0049936{col 40}{space 2} .0512839{col 51}{space 1}   -0.10{col 60}{space 3}0.922{col 68}{space 4}-.1058663{col 81}{space 3}  .095879
{txt}{space 26} {c |}
{space 13}prc1_mancheck {c |}
Passed manipulation check  {c |}{col 28}{res}{space 2} .1325245{col 40}{space 2} .0541411{col 51}{space 1}    2.45{col 60}{space 3}0.015{col 68}{space 4} .0260319{col 81}{space 3} .2390171
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} .2571894{col 40}{space 2} .0528074{col 51}{space 1}    4.87{col 60}{space 3}0.000{col 68}{space 4} .1533201{col 81}{space 3} .3610587
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est sto exp1_m1_china1hostile1
{txt}
{com}. 
. 
. * H2.1
. reg prc1_DV_main_dichot i.prc1_treat_level i.prc1_mancheck if prc1_treat_hostile == 0

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       340
{txt}{hline 13}{c +}{hline 34}   F(2, 337)       = {res}     1.69
{txt}       Model {c |} {res} .792670186         2  .396335093   {txt}Prob > F        ={res}    0.1860
{txt}    Residual {c |} {res} 79.0190945       337  .234478025   {txt}R-squared       ={res}    0.0099
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0041
{txt}       Total {c |} {res} 79.8117647       339  .235432934   {txt}Root MSE        =   {res} .48423

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       prc1_DV_main_dichot{col 28}{c |} Coefficient{col 40}  Std. err.{col 52}      t{col 60}   P>|t|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}prc1_treat_level {c |}
{space 18}Federal  {c |}{col 28}{res}{space 2}  .079031{col 40}{space 2} .0528547{col 51}{space 1}    1.50{col 60}{space 3}0.136{col 68}{space 4}-.0249358{col 81}{space 3} .1829977
{txt}{space 26} {c |}
{space 13}prc1_mancheck {c |}
Passed manipulation check  {c |}{col 28}{res}{space 2}-.0682526{col 40}{space 2} .0578029{col 51}{space 1}   -1.18{col 60}{space 3}0.239{col 68}{space 4}-.1819525{col 81}{space 3} .0454473
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} .3883876{col 40}{space 2} .0528371{col 51}{space 1}    7.35{col 60}{space 3}0.000{col 68}{space 4} .2844555{col 81}{space 3} .4923197
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est sto exp1_m1_hostile0
{txt}
{com}. 
. 
. reg prc1_DV_main_dichot i.prc1_treat_level i.prc1_mancheck if prc1_treat_hostile == 1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       679
{txt}{hline 13}{c +}{hline 34}   F(2, 676)       = {res}     0.97
{txt}       Model {c |} {res} .446927283         2  .223463642   {txt}Prob > F        ={res}    0.3779
{txt}    Residual {c |} {res} 155.014045       676  .229310717   {txt}R-squared       ={res}    0.0029
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}   -0.0001
{txt}       Total {c |} {res} 155.460972       678  .229293469   {txt}Root MSE        =   {res} .47886

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       prc1_DV_main_dichot{col 28}{c |} Coefficient{col 40}  Std. err.{col 52}      t{col 60}   P>|t|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}prc1_treat_level {c |}
{space 18}Federal  {c |}{col 28}{res}{space 2}-.0194676{col 40}{space 2} .0367833{col 51}{space 1}   -0.53{col 60}{space 3}0.597{col 68}{space 4}-.0916909{col 81}{space 3} .0527557
{txt}{space 26} {c |}
{space 13}prc1_mancheck {c |}
Passed manipulation check  {c |}{col 28}{res}{space 2} .0476804{col 40}{space 2} .0368938{col 51}{space 1}    1.29{col 60}{space 3}0.197{col 68}{space 4}-.0247598{col 81}{space 3} .1201206
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} .3391429{col 40}{space 2} .0332364{col 51}{space 1}   10.20{col 60}{space 3}0.000{col 68}{space 4} .2738838{col 81}{space 3} .4044019
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est sto exp1_m1_hostile1
{txt}
{com}.                 
. esttab                  ///
>         exp1_m1_china1hostile0 exp1_m1_china1hostile1 exp1_m1_hostile0 exp1_m1_hostile1  ///
>         using "${c -(}MyProject{c )-}/APPENDIX Table A6.tex"              ///
>         , replace longtable lab noomit nobase    ///
>                         se(%9.1f) b(%9.1f)      star(+ 0.10 * 0.05)     ///                                                             ///
>         title("Experiment 1 H2 and H2.1 Focus Results (OLS) \label{c -(}tab:exp1h2{c )-}") ///
>         mtitles("H2 China No Stance" "H2 China Hostile" "H2.1 No Stance" "H2.1 Hostile (Any)") ///
>         refcat(2.prc1_treat_level "\textit{c -(}Government Level{c )-}"                                           ///
>                         1.prc1_treat_hostile "\textit{c -(}China Reaction{c )-}"                                          ///
>                         1.prc1_treat_china "\textit{c -(}Cuegiver{c )-}"                                                  ///
>                         1.prc1_mancheck "\textit{c -(}Manipulation Check{c )-}"                                           ///
>                         1.mobile "\textit{c -(}Survey Mode{c )-}"                                                                         ///
>                         age "\textit{c -(}Covariates{c )-}"                                                                                       ///     
>                         2.trust_fed_num "\textit{c -(}Trust in Fed Govt{c )-}"                                            ///
>                         1.trust_nondiff "\textit{c -(}Trust Grid Straightlining{c )-}"                            ///
>                         2.threat_prc_num "\textit{c -(}Views of PRC{c )-}"                                                        ///
>                         2.prc1_trust_level_more "\textit{c -(}Relative Trust{c )-}"                                       ///
>                 , nolabel)                                                                                                                              
{res}{txt}(output written to {browse  `"~/Dropbox/0001 Academic Projects/Completed/0171 Parasecurity and Education/Replication/APPENDIX Table A6.tex"'})

{com}. 
. * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * 
. *                                                                       Logit                                                                             *
. * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * 
. 
. ****** Treatments and Technical
. 
. logit prc1_DV_main_dichot                                                                                                               ///
>                 i.prc1_treat_level i.prc1_treat_hostile i.prc1_treat_china                              ///
>                 i.prc1_mancheck `technical'                                                                                             ///
>                 , robust

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-666.04935}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-663.93019}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-663.92936}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-663.92936}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:1,018}
{txt}{col 57}{lalign 13:Wald chi2({res:5})}{col 70} = {res}{ralign 6:4.28}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.5097}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-663.92936}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0032}

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}       prc1_DV_main_dichot{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      z{col 60}   P>|z|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}prc1_treat_level {c |}
{space 18}Federal  {c |}{col 28}{res}{space 2} .0575007{col 40}{space 2}  .131384{col 51}{space 1}    0.44{col 60}{space 3}0.662{col 68}{space 4}-.2000072{col 81}{space 3} .3150086
{txt}{space 26} {c |}
{space 8}prc1_treat_hostile {c |}
{space 18}Hostile  {c |}{col 28}{res}{space 2}-.0236461{col 40}{space 2} .1654836{col 51}{space 1}   -0.14{col 60}{space 3}0.886{col 68}{space 4}-.3479881{col 81}{space 3} .3006959
{txt}{space 26} {c |}
{space 10}prc1_treat_china {c |}
{space 10}China expresses  {c |}{col 28}{res}{space 2}-.1461834{col 40}{space 2}  .163881{col 51}{space 1}   -0.89{col 60}{space 3}0.372{col 68}{space 4}-.4673843{col 81}{space 3} .1750174
{txt}{space 26} {c |}
{space 13}prc1_mancheck {c |}
Passed manipulation check  {c |}{col 28}{res}{space 2} .0873532{col 40}{space 2} .1381766{col 51}{space 1}    0.63{col 60}{space 3}0.527{col 68}{space 4}-.1834679{col 81}{space 3} .3581743
{txt}{space 26} {c |}
{space 20}mobile {c |}
{space 19}Mobile  {c |}{col 28}{res}{space 2} -.228611{col 40}{space 2} .1385984{col 51}{space 1}   -1.65{col 60}{space 3}0.099{col 68}{space 4}-.5002589{col 81}{space 3} .0430368
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-.4329174{col 40}{space 2} .1878075{col 51}{space 1}   -2.31{col 60}{space 3}0.021{col 68}{space 4}-.8010134{col 81}{space 3}-.0648214
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. est sto prc1_m1_logit
{txt}
{com}. 
. 
. ****** Demographics
. 
. logit prc1_DV_main_dichot ///
>                 i.prc1_treat_level i.prc1_treat_hostile i.prc1_treat_china                              ///
>                 i.prc1_mancheck `technical'     `demographics'                                                          ///
>                 , robust

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-656.35339}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-604.47875}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-603.95494}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-603.95451}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-603.95451}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:1,004}
{txt}{col 57}{lalign 13:Wald chi2({res:13})}{col 70} = {res}{ralign 6:94.31}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-603.95451}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0798}

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}       prc1_DV_main_dichot{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      z{col 60}   P>|z|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}prc1_treat_level {c |}
{space 18}Federal  {c |}{col 28}{res}{space 2} .0722369{col 40}{space 2} .1398313{col 51}{space 1}    0.52{col 60}{space 3}0.605{col 68}{space 4}-.2018274{col 81}{space 3} .3463012
{txt}{space 26} {c |}
{space 8}prc1_treat_hostile {c |}
{space 18}Hostile  {c |}{col 28}{res}{space 2}-.0412539{col 40}{space 2} .1805287{col 51}{space 1}   -0.23{col 60}{space 3}0.819{col 68}{space 4}-.3950836{col 81}{space 3} .3125757
{txt}{space 26} {c |}
{space 10}prc1_treat_china {c |}
{space 10}China expresses  {c |}{col 28}{res}{space 2}-.0931405{col 40}{space 2} .1707645{col 51}{space 1}   -0.55{col 60}{space 3}0.585{col 68}{space 4}-.4278328{col 81}{space 3} .2415519
{txt}{space 26} {c |}
{space 13}prc1_mancheck {c |}
Passed manipulation check  {c |}{col 28}{res}{space 2} .1234555{col 40}{space 2} .1498706{col 51}{space 1}    0.82{col 60}{space 3}0.410{col 68}{space 4}-.1702856{col 81}{space 3} .4171966
{txt}{space 26} {c |}
{space 20}mobile {c |}
{space 19}Mobile  {c |}{col 28}{res}{space 2} -.101297{col 40}{space 2} .1496048{col 51}{space 1}   -0.68{col 60}{space 3}0.498{col 68}{space 4} -.394517{col 81}{space 3} .1919231
{txt}{space 23}age {c |}{col 28}{res}{space 2}-.0089703{col 40}{space 2}  .025789{col 51}{space 1}   -0.35{col 60}{space 3}0.728{col 68}{space 4}-.0595159{col 81}{space 3} .0415753
{txt}{space 26} {c |}
{space 15}c.age#c.age {c |}{col 28}{res}{space 2} .0001848{col 40}{space 2} .0002679{col 51}{space 1}    0.69{col 60}{space 3}0.490{col 68}{space 4}-.0003403{col 81}{space 3} .0007099
{txt}{space 26} {c |}
{space 20}female {c |}{col 28}{res}{space 2}-.1456538{col 40}{space 2}   .14085{col 51}{space 1}   -1.03{col 60}{space 3}0.301{col 68}{space 4}-.4217147{col 81}{space 3} .1304071
{txt}{space 21}white {c |}{col 28}{res}{space 2}  .198732{col 40}{space 2} .1727537{col 51}{space 1}    1.15{col 60}{space 3}0.250{col 68}{space 4}-.1398591{col 81}{space 3} .5373231
{txt}{space 18}hispanic {c |}{col 28}{res}{space 2} .0470668{col 40}{space 2} .2026114{col 51}{space 1}    0.23{col 60}{space 3}0.816{col 68}{space 4}-.3500442{col 81}{space 3} .4441779
{txt}{space 19}college {c |}{col 28}{res}{space 2} .1485665{col 40}{space 2} .1448092{col 51}{space 1}    1.03{col 60}{space 3}0.305{col 68}{space 4}-.1352543{col 81}{space 3} .4323873
{txt}{space 26} {c |}
{space 19}pid3alt {c |}
{space 14}Independent  {c |}{col 28}{res}{space 2}-.1272005{col 40}{space 2} .2695223{col 51}{space 1}   -0.47{col 60}{space 3}0.637{col 68}{space 4}-.6554546{col 81}{space 3} .4010536
{txt}{space 15}Republican  {c |}{col 28}{res}{space 2} 1.217626{col 40}{space 2} .1524267{col 51}{space 1}    7.99{col 60}{space 3}0.000{col 68}{space 4} .9188756{col 81}{space 3} 1.516377
{txt}{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2}-1.328141{col 40}{space 2} .5922089{col 51}{space 1}   -2.24{col 60}{space 3}0.025{col 68}{space 4}-2.488849{col 81}{space 3} -.167433
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. est sto prc1_m2_logit
{txt}
{com}. local prc1_m2_logitN = `e(N)'
{txt}
{com}. 
. 
. *** Basic Interaction, Federal x Trust
.                         
. logit prc1_DV_main_dichot ///
>                 i.prc1_treat_level##i.prc1_trust_level_more                                                     ///
>                 i.prc1_treat_hostile i.prc1_treat_china                                                                 ///
>                 i.prc1_mancheck `technical'     `demographics'                                                          ///
>                 i.trust_fed_num i.trust_nondiff                                                                                 ///
>                 , robust

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-653.09456}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-583.38334}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-582.41408}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-582.41385}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-582.41385}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:998}
{txt}{col 57}{lalign 13:Wald chi2({res:20})}{col 70} = {res}{ralign 6:116.80}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-582.41385}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.1082}

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 40}{c |}{col 52}    Robust
{col 1}                   prc1_DV_main_dichot{col 40}{c |} Coefficient{col 52}  std. err.{col 64}      z{col 72}   P>|z|{col 80}     [95% con{col 93}f. interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 22}prc1_treat_level {c |}
{space 30}Federal  {c |}{col 40}{res}{space 2} .5258191{col 52}{space 2} .4056685{col 63}{space 1}    1.30{col 72}{space 3}0.195{col 80}{space 4}-.2692766{col 93}{space 3} 1.320915
{txt}{space 38} {c |}
{space 17}prc1_trust_level_more {c |}
{space 22}Trusts the Same  {c |}{col 40}{res}{space 2} .1124289{col 52}{space 2}  .372869{col 63}{space 1}    0.30{col 72}{space 3}0.763{col 80}{space 4}-.6183809{col 93}{space 3} .8432387
{txt}{space 20}Trusts Level More  {c |}{col 40}{res}{space 2} .1637302{col 52}{space 2} .4066113{col 63}{space 1}    0.40{col 72}{space 3}0.687{col 80}{space 4}-.6332133{col 93}{space 3} .9606736
{txt}{space 38} {c |}
prc1_treat_level#prc1_trust_level_more {c |}
{space 14}Federal#Trusts the Same  {c |}{col 40}{res}{space 2}-.6045582{col 52}{space 2} .4496391{col 63}{space 1}   -1.34{col 72}{space 3}0.179{col 80}{space 4}-1.485835{col 93}{space 3} .2767183
{txt}{space 12}Federal#Trusts Level More  {c |}{col 40}{res}{space 2}-.2415765{col 52}{space 2} .5961686{col 63}{space 1}   -0.41{col 72}{space 3}0.685{col 80}{space 4}-1.410045{col 93}{space 3} .9268924
{txt}{space 38} {c |}
{space 20}prc1_treat_hostile {c |}
{space 30}Hostile  {c |}{col 40}{res}{space 2}-.0547888{col 52}{space 2} .1848775{col 63}{space 1}   -0.30{col 72}{space 3}0.767{col 80}{space 4}-.4171421{col 93}{space 3} .3075645
{txt}{space 38} {c |}
{space 22}prc1_treat_china {c |}
{space 22}China expresses  {c |}{col 40}{res}{space 2}-.1109274{col 52}{space 2}  .174881{col 63}{space 1}   -0.63{col 72}{space 3}0.526{col 80}{space 4}-.4536878{col 93}{space 3}  .231833
{txt}{space 38} {c |}
{space 25}prc1_mancheck {c |}
{space 12}Passed manipulation check  {c |}{col 40}{res}{space 2} .1542854{col 52}{space 2} .1539087{col 63}{space 1}    1.00{col 72}{space 3}0.316{col 80}{space 4}-.1473701{col 93}{space 3} .4559409
{txt}{space 38} {c |}
{space 32}mobile {c |}
{space 31}Mobile  {c |}{col 40}{res}{space 2}-.0288841{col 52}{space 2} .1572946{col 63}{space 1}   -0.18{col 72}{space 3}0.854{col 80}{space 4}-.3371759{col 93}{space 3} .2794076
{txt}{space 35}age {c |}{col 40}{res}{space 2}-.0019687{col 52}{space 2} .0267791{col 63}{space 1}   -0.07{col 72}{space 3}0.941{col 80}{space 4}-.0544547{col 93}{space 3} .0505174
{txt}{space 38} {c |}
{space 27}c.age#c.age {c |}{col 40}{res}{space 2} .0001303{col 52}{space 2} .0002786{col 63}{space 1}    0.47{col 72}{space 3}0.640{col 80}{space 4}-.0004158{col 93}{space 3} .0006764
{txt}{space 38} {c |}
{space 32}female {c |}{col 40}{res}{space 2}-.1046967{col 52}{space 2} .1452319{col 63}{space 1}   -0.72{col 72}{space 3}0.471{col 80}{space 4} -.389346{col 93}{space 3} .1799526
{txt}{space 33}white {c |}{col 40}{res}{space 2} .1361525{col 52}{space 2} .1730262{col 63}{space 1}    0.79{col 72}{space 3}0.431{col 80}{space 4}-.2029726{col 93}{space 3} .4752777
{txt}{space 30}hispanic {c |}{col 40}{res}{space 2} .0543135{col 52}{space 2} .2084349{col 63}{space 1}    0.26{col 72}{space 3}0.794{col 80}{space 4}-.3542113{col 93}{space 3} .4628384
{txt}{space 31}college {c |}{col 40}{res}{space 2} .1372831{col 52}{space 2} .1486954{col 63}{space 1}    0.92{col 72}{space 3}0.356{col 80}{space 4}-.1541545{col 93}{space 3} .4287208
{txt}{space 38} {c |}
{space 31}pid3alt {c |}
{space 26}Independent  {c |}{col 40}{res}{space 2}-.0846847{col 52}{space 2} .2680236{col 63}{space 1}   -0.32{col 72}{space 3}0.752{col 80}{space 4}-.6100012{col 93}{space 3} .4406319
{txt}{space 27}Republican  {c |}{col 40}{res}{space 2} 1.203212{col 52}{space 2} .1599875{col 63}{space 1}    7.52{col 72}{space 3}0.000{col 80}{space 4} .8896423{col 93}{space 3} 1.516782
{txt}{space 38} {c |}
{space 25}trust_fed_num {c |}
{space 29}A little  {c |}{col 40}{res}{space 2}-.4110945{col 52}{space 2} .1693826{col 63}{space 1}   -2.43{col 72}{space 3}0.015{col 80}{space 4}-.7430784{col 93}{space 3}-.0791107
{txt}{space 32}A lot  {c |}{col 40}{res}{space 2} .8294972{col 52}{space 2} .2617984{col 63}{space 1}    3.17{col 72}{space 3}0.002{col 80}{space 4} .3163818{col 93}{space 3} 1.342613
{txt}{space 38} {c |}
{space 25}trust_nondiff {c |}
{space 24}Straightlined  {c |}{col 40}{res}{space 2}  .049288{col 52}{space 2} .1856718{col 63}{space 1}    0.27{col 72}{space 3}0.791{col 80}{space 4}-.3146221{col 93}{space 3} .4131981
{txt}{space 33}_cons {c |}{col 40}{res}{space 2}-1.606352{col 52}{space 2} .7164926{col 63}{space 1}   -2.24{col 72}{space 3}0.025{col 80}{space 4}-3.010652{col 93}{space 3}-.2020523
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. est sto prc1_m4_logit
{txt}
{com}. 
. 
. *** Basic Interaction, Hostile x Threat
.         
. logit prc1_DV_main_dichot ///
>                 i.prc1_treat_level                                                      ///
>                 i.prc1_treat_hostile##i.threat_prc_num i.prc1_treat_china                               ///
>                 i.prc1_mancheck `technical'     `demographics'                                                          ///
>                 , robust

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-652.64529}  
Iteration 1:{space 2}Log pseudolikelihood = {res: -587.1299}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-586.10369}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-586.10342}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-586.10342}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:997}
{txt}{col 57}{lalign 13:Wald chi2({res:17})}{col 70} = {res}{ralign 6:115.34}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-586.10342}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.1020}

{txt}{hline 34}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 35}{c |}{col 47}    Robust
{col 1}              prc1_DV_main_dichot{col 35}{c |} Coefficient{col 47}  std. err.{col 59}      z{col 67}   P>|z|{col 75}     [95% con{col 88}f. interval]
{hline 34}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}prc1_treat_level {c |}
{space 25}Federal  {c |}{col 35}{res}{space 2} .0646993{col 47}{space 2}  .142632{col 58}{space 1}    0.45{col 67}{space 3}0.650{col 75}{space 4}-.2148542{col 88}{space 3} .3442528
{txt}{space 33} {c |}
{space 15}prc1_treat_hostile {c |}
{space 25}Hostile  {c |}{col 35}{res}{space 2}-.8540395{col 47}{space 2} .5724678{col 58}{space 1}   -1.49{col 67}{space 3}0.136{col 75}{space 4}-1.976056{col 88}{space 3} .2679768
{txt}{space 33} {c |}
{space 19}threat_prc_num {c |}
{space 18}A minor threat  {c |}{col 35}{res}{space 2}-1.178447{col 47}{space 2} .4784747{col 58}{space 1}   -2.46{col 67}{space 3}0.014{col 75}{space 4} -2.11624{col 88}{space 3} -.240654
{txt}{space 18}A major threat  {c |}{col 35}{res}{space 2}-.1517073{col 47}{space 2} .4395804{col 58}{space 1}   -0.35{col 67}{space 3}0.730{col 75}{space 4}-1.013269{col 88}{space 3} .7098544
{txt}{space 33} {c |}
prc1_treat_hostile#threat_prc_num {c |}
{space 10}Hostile#A minor threat  {c |}{col 35}{res}{space 2} 1.129063{col 47}{space 2} .6487394{col 58}{space 1}    1.74{col 67}{space 3}0.082{col 75}{space 4} -.142443{col 88}{space 3} 2.400569
{txt}{space 10}Hostile#A major threat  {c |}{col 35}{res}{space 2} .8519661{col 47}{space 2} .6007777{col 58}{space 1}    1.42{col 67}{space 3}0.156{col 75}{space 4}-.3255367{col 88}{space 3} 2.029469
{txt}{space 33} {c |}
{space 17}prc1_treat_china {c |}
{space 17}China expresses  {c |}{col 35}{res}{space 2}-.1556444{col 47}{space 2}  .176149{col 58}{space 1}   -0.88{col 67}{space 3}0.377{col 75}{space 4}-.5008901{col 88}{space 3} .1896012
{txt}{space 33} {c |}
{space 20}prc1_mancheck {c |}
{space 7}Passed manipulation check  {c |}{col 35}{res}{space 2} .1403702{col 47}{space 2} .1522156{col 58}{space 1}    0.92{col 67}{space 3}0.356{col 75}{space 4}-.1579668{col 88}{space 3} .4387072
{txt}{space 33} {c |}
{space 27}mobile {c |}
{space 26}Mobile  {c |}{col 35}{res}{space 2}-.1153088{col 47}{space 2} .1538197{col 58}{space 1}   -0.75{col 67}{space 3}0.453{col 75}{space 4}-.4167899{col 88}{space 3} .1861723
{txt}{space 30}age {c |}{col 35}{res}{space 2}-.0158485{col 47}{space 2} .0268038{col 58}{space 1}   -0.59{col 67}{space 3}0.554{col 75}{space 4} -.068383{col 88}{space 3} .0366861
{txt}{space 33} {c |}
{space 22}c.age#c.age {c |}{col 35}{res}{space 2} .0002032{col 47}{space 2} .0002758{col 58}{space 1}    0.74{col 67}{space 3}0.461{col 75}{space 4}-.0003374{col 88}{space 3} .0007438
{txt}{space 33} {c |}
{space 27}female {c |}{col 35}{res}{space 2}-.1452215{col 47}{space 2} .1433364{col 58}{space 1}   -1.01{col 67}{space 3}0.311{col 75}{space 4}-.4261556{col 88}{space 3} .1357126
{txt}{space 28}white {c |}{col 35}{res}{space 2} .1792203{col 47}{space 2} .1760972{col 58}{space 1}    1.02{col 67}{space 3}0.309{col 75}{space 4}-.1659239{col 88}{space 3} .5243644
{txt}{space 25}hispanic {c |}{col 35}{res}{space 2} .0027712{col 47}{space 2} .2039539{col 58}{space 1}    0.01{col 67}{space 3}0.989{col 75}{space 4} -.396971{col 88}{space 3} .4025134
{txt}{space 26}college {c |}{col 35}{res}{space 2} .1588149{col 47}{space 2} .1462246{col 58}{space 1}    1.09{col 67}{space 3}0.277{col 75}{space 4}-.1277801{col 88}{space 3} .4454099
{txt}{space 33} {c |}
{space 26}pid3alt {c |}
{space 21}Independent  {c |}{col 35}{res}{space 2}-.1236667{col 47}{space 2} .2710049{col 58}{space 1}   -0.46{col 67}{space 3}0.648{col 75}{space 4}-.6548266{col 88}{space 3} .4074932
{txt}{space 22}Republican  {c |}{col 35}{res}{space 2}   1.1425{col 47}{space 2} .1564929{col 58}{space 1}    7.30{col 67}{space 3}0.000{col 75}{space 4} .8357793{col 88}{space 3}  1.44922
{txt}{space 33} {c |}
{space 28}_cons {c |}{col 35}{res}{space 2}-.5783962{col 47}{space 2} .6974793{col 58}{space 1}   -0.83{col 67}{space 3}0.407{col 75}{space 4} -1.94543{col 88}{space 3} .7886381
{txt}{hline 34}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto prc1_m5_logit
{txt}
{com}. local prc1_m5_logitN = `e(N)'
{txt}
{com}. 
. *** Double Interaction, Federal x Trust
. 
. logit prc1_DV_main_dichot ///
>                 i.prc1_treat_level##i.prc1_trust_level_more                                                     ///
>                 i.prc1_treat_hostile##i.threat_prc_num i.prc1_treat_china                               ///
>                 i.prc1_mancheck `technical'     `demographics'                                                          ///
>                 i.trust_fed_num i.trust_nondiff                         ///
>                 , robust

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-652.64529}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-570.45674}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-569.16072}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-569.15966}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-569.15966}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:997}
{txt}{col 57}{lalign 13:Wald chi2({res:24})}{col 70} = {res}{ralign 6:141.74}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-569.15966}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.1279}

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 40}{c |}{col 52}    Robust
{col 1}                   prc1_DV_main_dichot{col 40}{c |} Coefficient{col 52}  std. err.{col 64}      z{col 72}   P>|z|{col 80}     [95% con{col 93}f. interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 22}prc1_treat_level {c |}
{space 30}Federal  {c |}{col 40}{res}{space 2} .4692643{col 52}{space 2} .4034815{col 63}{space 1}    1.16{col 72}{space 3}0.245{col 80}{space 4}-.3215449{col 93}{space 3} 1.260074
{txt}{space 38} {c |}
{space 17}prc1_trust_level_more {c |}
{space 22}Trusts the Same  {c |}{col 40}{res}{space 2} .0405544{col 52}{space 2} .3668941{col 63}{space 1}    0.11{col 72}{space 3}0.912{col 80}{space 4}-.6785449{col 93}{space 3} .7596536
{txt}{space 20}Trusts Level More  {c |}{col 40}{res}{space 2} .1195558{col 52}{space 2} .4048535{col 63}{space 1}    0.30{col 72}{space 3}0.768{col 80}{space 4}-.6739424{col 93}{space 3}  .913054
{txt}{space 38} {c |}
prc1_treat_level#prc1_trust_level_more {c |}
{space 14}Federal#Trusts the Same  {c |}{col 40}{res}{space 2}-.5407757{col 52}{space 2} .4486026{col 63}{space 1}   -1.21{col 72}{space 3}0.228{col 80}{space 4}-1.420021{col 93}{space 3} .3384694
{txt}{space 12}Federal#Trusts Level More  {c |}{col 40}{res}{space 2}-.2483692{col 52}{space 2} .6025267{col 63}{space 1}   -0.41{col 72}{space 3}0.680{col 80}{space 4}  -1.4293{col 93}{space 3} .9325615
{txt}{space 38} {c |}
{space 20}prc1_treat_hostile {c |}
{space 30}Hostile  {c |}{col 40}{res}{space 2}-.9709974{col 52}{space 2} .6174709{col 63}{space 1}   -1.57{col 72}{space 3}0.116{col 80}{space 4}-2.181218{col 93}{space 3} .2392234
{txt}{space 38} {c |}
{space 24}threat_prc_num {c |}
{space 23}A minor threat  {c |}{col 40}{res}{space 2}-1.087087{col 52}{space 2}  .492868{col 63}{space 1}   -2.21{col 72}{space 3}0.027{col 80}{space 4}-2.053091{col 93}{space 3}-.1210838
{txt}{space 23}A major threat  {c |}{col 40}{res}{space 2}-.1359128{col 52}{space 2} .4535577{col 63}{space 1}   -0.30{col 72}{space 3}0.764{col 80}{space 4} -1.02487{col 93}{space 3}  .753044
{txt}{space 38} {c |}
{space 5}prc1_treat_hostile#threat_prc_num {c |}
{space 15}Hostile#A minor threat  {c |}{col 40}{res}{space 2} 1.198352{col 52}{space 2} .6900553{col 63}{space 1}    1.74{col 72}{space 3}0.082{col 80}{space 4}-.1541317{col 93}{space 3} 2.550835
{txt}{space 15}Hostile#A major threat  {c |}{col 40}{res}{space 2} .9564559{col 52}{space 2} .6446737{col 63}{space 1}    1.48{col 72}{space 3}0.138{col 80}{space 4}-.3070813{col 93}{space 3} 2.219993
{txt}{space 38} {c |}
{space 22}prc1_treat_china {c |}
{space 22}China expresses  {c |}{col 40}{res}{space 2}-.1683633{col 52}{space 2} .1796485{col 63}{space 1}   -0.94{col 72}{space 3}0.349{col 80}{space 4} -.520468{col 93}{space 3} .1837413
{txt}{space 38} {c |}
{space 25}prc1_mancheck {c |}
{space 12}Passed manipulation check  {c |}{col 40}{res}{space 2} .1524265{col 52}{space 2} .1558659{col 63}{space 1}    0.98{col 72}{space 3}0.328{col 80}{space 4}-.1530651{col 93}{space 3} .4579181
{txt}{space 38} {c |}
{space 32}mobile {c |}
{space 31}Mobile  {c |}{col 40}{res}{space 2} -.028128{col 52}{space 2} .1616473{col 63}{space 1}   -0.17{col 72}{space 3}0.862{col 80}{space 4}-.3449509{col 93}{space 3} .2886949
{txt}{space 35}age {c |}{col 40}{res}{space 2}-.0085611{col 52}{space 2} .0276412{col 63}{space 1}   -0.31{col 72}{space 3}0.757{col 80}{space 4}-.0627368{col 93}{space 3} .0456147
{txt}{space 38} {c |}
{space 27}c.age#c.age {c |}{col 40}{res}{space 2} .0001477{col 52}{space 2} .0002849{col 63}{space 1}    0.52{col 72}{space 3}0.604{col 80}{space 4}-.0004108{col 93}{space 3} .0007061
{txt}{space 38} {c |}
{space 32}female {c |}{col 40}{res}{space 2}-.1109949{col 52}{space 2} .1471664{col 63}{space 1}   -0.75{col 72}{space 3}0.451{col 80}{space 4}-.3994358{col 93}{space 3}  .177446
{txt}{space 33}white {c |}{col 40}{res}{space 2} .1427714{col 52}{space 2} .1776924{col 63}{space 1}    0.80{col 72}{space 3}0.422{col 80}{space 4}-.2054993{col 93}{space 3} .4910422
{txt}{space 30}hispanic {c |}{col 40}{res}{space 2} .0123824{col 52}{space 2} .2079669{col 63}{space 1}    0.06{col 72}{space 3}0.953{col 80}{space 4}-.3952252{col 93}{space 3} .4199901
{txt}{space 31}college {c |}{col 40}{res}{space 2} .1521676{col 52}{space 2} .1499038{col 63}{space 1}    1.02{col 72}{space 3}0.310{col 80}{space 4}-.1416385{col 93}{space 3} .4459737
{txt}{space 38} {c |}
{space 31}pid3alt {c |}
{space 26}Independent  {c |}{col 40}{res}{space 2}-.0785142{col 52}{space 2} .2695886{col 63}{space 1}   -0.29{col 72}{space 3}0.771{col 80}{space 4}-.6068981{col 93}{space 3} .4498697
{txt}{space 27}Republican  {c |}{col 40}{res}{space 2} 1.137738{col 52}{space 2} .1633092{col 63}{space 1}    6.97{col 72}{space 3}0.000{col 80}{space 4} .8176581{col 93}{space 3} 1.457818
{txt}{space 38} {c |}
{space 25}trust_fed_num {c |}
{space 29}A little  {c |}{col 40}{res}{space 2}-.3510302{col 52}{space 2} .1734192{col 63}{space 1}   -2.02{col 72}{space 3}0.043{col 80}{space 4}-.6909257{col 93}{space 3}-.0111348
{txt}{space 32}A lot  {c |}{col 40}{res}{space 2} .8529704{col 52}{space 2} .2628073{col 63}{space 1}    3.25{col 72}{space 3}0.001{col 80}{space 4} .3378776{col 93}{space 3} 1.368063
{txt}{space 38} {c |}
{space 25}trust_nondiff {c |}
{space 24}Straightlined  {c |}{col 40}{res}{space 2} .0859478{col 52}{space 2} .1879359{col 63}{space 1}    0.46{col 72}{space 3}0.647{col 80}{space 4}-.2823997{col 93}{space 3} .4542954
{txt}{space 33}_cons {c |}{col 40}{res}{space 2}-.9090022{col 52}{space 2} .7945927{col 63}{space 1}   -1.14{col 72}{space 3}0.253{col 80}{space 4}-2.466375{col 93}{space 3} .6483709
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto prc1_m6_logit   
{txt}
{com}. 
.         
. * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * 
. *                                                                       ologit                                                                            *
. * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * 
. 
. ***** Demographics
. 
. ologit prc1_DV_main                                                                                                                     ///
>                 i.prc1_treat_level i.prc1_treat_hostile i.prc1_treat_china                              ///
>                 i.prc1_mancheck `technical'     `demographics'                                                          ///
>                 , robust

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-1607.5132}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-1551.3925}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-1551.0153}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-1551.0151}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-1551.0151}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:1,004}
{txt}{col 57}{lalign 13:Wald chi2({res:13})}{col 70} = {res}{ralign 6:107.09}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-1551.0151}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0351}

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}              prc1_DV_main{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      z{col 60}   P>|z|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}prc1_treat_level {c |}
{space 18}Federal  {c |}{col 28}{res}{space 2} .0543721{col 40}{space 2} .1141841{col 51}{space 1}    0.48{col 60}{space 3}0.634{col 68}{space 4}-.1694247{col 81}{space 3} .2781689
{txt}{space 26} {c |}
{space 8}prc1_treat_hostile {c |}
{space 18}Hostile  {c |}{col 28}{res}{space 2}-.1771599{col 40}{space 2} .1481349{col 51}{space 1}   -1.20{col 60}{space 3}0.232{col 68}{space 4}-.4674989{col 81}{space 3} .1131791
{txt}{space 26} {c |}
{space 10}prc1_treat_china {c |}
{space 10}China expresses  {c |}{col 28}{res}{space 2} .0466491{col 40}{space 2} .1386788{col 51}{space 1}    0.34{col 60}{space 3}0.737{col 68}{space 4}-.2251564{col 81}{space 3} .3184546
{txt}{space 26} {c |}
{space 13}prc1_mancheck {c |}
Passed manipulation check  {c |}{col 28}{res}{space 2}-.0571173{col 40}{space 2} .1224803{col 51}{space 1}   -0.47{col 60}{space 3}0.641{col 68}{space 4}-.2971742{col 81}{space 3} .1829396
{txt}{space 26} {c |}
{space 20}mobile {c |}
{space 19}Mobile  {c |}{col 28}{res}{space 2}-.1048136{col 40}{space 2} .1240117{col 51}{space 1}   -0.85{col 60}{space 3}0.398{col 68}{space 4}-.3478721{col 81}{space 3} .1382449
{txt}{space 23}age {c |}{col 28}{res}{space 2} .0251343{col 40}{space 2} .0194051{col 51}{space 1}    1.30{col 60}{space 3}0.195{col 68}{space 4}-.0128991{col 81}{space 3} .0631677
{txt}{space 26} {c |}
{space 15}c.age#c.age {c |}{col 28}{res}{space 2}-.0001592{col 40}{space 2} .0002052{col 51}{space 1}   -0.78{col 60}{space 3}0.438{col 68}{space 4}-.0005613{col 81}{space 3} .0002429
{txt}{space 26} {c |}
{space 20}female {c |}{col 28}{res}{space 2}-.1649393{col 40}{space 2} .1145224{col 51}{space 1}   -1.44{col 60}{space 3}0.150{col 68}{space 4} -.389399{col 81}{space 3} .0595204
{txt}{space 21}white {c |}{col 28}{res}{space 2}-.0363692{col 40}{space 2} .1387582{col 51}{space 1}   -0.26{col 60}{space 3}0.793{col 68}{space 4}-.3083303{col 81}{space 3} .2355918
{txt}{space 18}hispanic {c |}{col 28}{res}{space 2}-.0349443{col 40}{space 2} .1718379{col 51}{space 1}   -0.20{col 60}{space 3}0.839{col 68}{space 4}-.3717403{col 81}{space 3} .3018518
{txt}{space 19}college {c |}{col 28}{res}{space 2} -.162086{col 40}{space 2} .1229603{col 51}{space 1}   -1.32{col 60}{space 3}0.187{col 68}{space 4}-.4030836{col 81}{space 3} .0789117
{txt}{space 26} {c |}
{space 19}pid3alt {c |}
{space 14}Independent  {c |}{col 28}{res}{space 2} .2325163{col 40}{space 2} .1736333{col 51}{space 1}    1.34{col 60}{space 3}0.181{col 68}{space 4}-.1077987{col 81}{space 3} .5728313
{txt}{space 15}Republican  {c |}{col 28}{res}{space 2} 1.131355{col 40}{space 2} .1317018{col 51}{space 1}    8.59{col 60}{space 3}0.000{col 68}{space 4} .8732239{col 81}{space 3} 1.389486
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}/cut1 {c |}{col 28}{res}{space 2}-.6409223{col 40}{space 2}   .46642{col 68}{space 4}-1.555089{col 81}{space 3}  .273244
{txt}{space 21}/cut2 {c |}{col 28}{res}{space 2} .5596126{col 40}{space 2}  .465209{col 68}{space 4}-.3521803{col 81}{space 3} 1.471406
{txt}{space 21}/cut3 {c |}{col 28}{res}{space 2} 1.586648{col 40}{space 2} .4687423{col 68}{space 4} .6679296{col 81}{space 3} 2.505366
{txt}{space 21}/cut4 {c |}{col 28}{res}{space 2} 2.733497{col 40}{space 2} .4734168{col 68}{space 4} 1.805617{col 81}{space 3} 3.661377
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. est sto prc1_m2_ologit
{txt}
{com}. 
. ****** Versions with Interactions
. 
. *** Basic Interaction, Federal x Trust
. 
. ologit prc1_DV_main                                                                                                                     ///
>                 i.prc1_treat_level##i.prc1_trust_level_more                                                     ///
>                 i.prc1_treat_hostile i.prc1_treat_china                                                                 ///
>                 i.prc1_mancheck `technical'     `demographics'                                                          ///
>                 i.trust_fed_num i.trust_nondiff                                                                                 ///
>                 , robust

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-1598.3043}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-1525.8581}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-1525.2368}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-1525.2362}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-1525.2362}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:998}
{txt}{col 57}{lalign 13:Wald chi2({res:20})}{col 70} = {res}{ralign 6:139.69}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-1525.2362}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0457}

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 40}{c |}{col 52}    Robust
{col 1}                          prc1_DV_main{col 40}{c |} Coefficient{col 52}  std. err.{col 64}      z{col 72}   P>|z|{col 80}     [95% con{col 93}f. interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 22}prc1_treat_level {c |}
{space 30}Federal  {c |}{col 40}{res}{space 2} .1538843{col 52}{space 2} .3330501{col 63}{space 1}    0.46{col 72}{space 3}0.644{col 80}{space 4}-.4988819{col 93}{space 3} .8066505
{txt}{space 38} {c |}
{space 17}prc1_trust_level_more {c |}
{space 22}Trusts the Same  {c |}{col 40}{res}{space 2}-.0912979{col 52}{space 2} .2942081{col 63}{space 1}   -0.31{col 72}{space 3}0.756{col 80}{space 4}-.6679352{col 93}{space 3} .4853394
{txt}{space 20}Trusts Level More  {c |}{col 40}{res}{space 2}-.1350704{col 52}{space 2} .3258935{col 63}{space 1}   -0.41{col 72}{space 3}0.679{col 80}{space 4}-.7738101{col 93}{space 3} .5036692
{txt}{space 38} {c |}
prc1_treat_level#prc1_trust_level_more {c |}
{space 14}Federal#Trusts the Same  {c |}{col 40}{res}{space 2}-.2070433{col 52}{space 2} .3723372{col 63}{space 1}   -0.56{col 72}{space 3}0.578{col 80}{space 4}-.9368109{col 93}{space 3} .5227243
{txt}{space 12}Federal#Trusts Level More  {c |}{col 40}{res}{space 2}  .032788{col 52}{space 2} .5154117{col 63}{space 1}    0.06{col 72}{space 3}0.949{col 80}{space 4}-.9774004{col 93}{space 3} 1.042976
{txt}{space 38} {c |}
{space 20}prc1_treat_hostile {c |}
{space 30}Hostile  {c |}{col 40}{res}{space 2}-.1319678{col 52}{space 2} .1495127{col 63}{space 1}   -0.88{col 72}{space 3}0.377{col 80}{space 4}-.4250072{col 93}{space 3} .1610717
{txt}{space 38} {c |}
{space 22}prc1_treat_china {c |}
{space 22}China expresses  {c |}{col 40}{res}{space 2} .0294382{col 52}{space 2} .1416178{col 63}{space 1}    0.21{col 72}{space 3}0.835{col 80}{space 4}-.2481276{col 93}{space 3}  .307004
{txt}{space 38} {c |}
{space 25}prc1_mancheck {c |}
{space 12}Passed manipulation check  {c |}{col 40}{res}{space 2} -.017832{col 52}{space 2} .1243649{col 63}{space 1}   -0.14{col 72}{space 3}0.886{col 80}{space 4}-.2615827{col 93}{space 3} .2259187
{txt}{space 38} {c |}
{space 32}mobile {c |}
{space 31}Mobile  {c |}{col 40}{res}{space 2}-.0431305{col 52}{space 2} .1278336{col 63}{space 1}   -0.34{col 72}{space 3}0.736{col 80}{space 4}-.2936797{col 93}{space 3} .2074187
{txt}{space 35}age {c |}{col 40}{res}{space 2} .0240598{col 52}{space 2} .0198307{col 63}{space 1}    1.21{col 72}{space 3}0.225{col 80}{space 4}-.0148075{col 93}{space 3} .0629272
{txt}{space 38} {c |}
{space 27}c.age#c.age {c |}{col 40}{res}{space 2}-.0001187{col 52}{space 2} .0002093{col 63}{space 1}   -0.57{col 72}{space 3}0.570{col 80}{space 4}-.0005289{col 93}{space 3} .0002915
{txt}{space 38} {c |}
{space 32}female {c |}{col 40}{res}{space 2}-.1382906{col 52}{space 2} .1169272{col 63}{space 1}   -1.18{col 72}{space 3}0.237{col 80}{space 4}-.3674637{col 93}{space 3} .0908824
{txt}{space 33}white {c |}{col 40}{res}{space 2}-.0800743{col 52}{space 2} .1419633{col 63}{space 1}   -0.56{col 72}{space 3}0.573{col 80}{space 4}-.3583173{col 93}{space 3} .1981687
{txt}{space 30}hispanic {c |}{col 40}{res}{space 2}-.0408998{col 52}{space 2} .1750461{col 63}{space 1}   -0.23{col 72}{space 3}0.815{col 80}{space 4}-.3839839{col 93}{space 3} .3021843
{txt}{space 31}college {c |}{col 40}{res}{space 2}-.1761475{col 52}{space 2} .1261326{col 63}{space 1}   -1.40{col 72}{space 3}0.163{col 80}{space 4}-.4233629{col 93}{space 3} .0710678
{txt}{space 38} {c |}
{space 31}pid3alt {c |}
{space 26}Independent  {c |}{col 40}{res}{space 2} .2912347{col 52}{space 2} .1766948{col 63}{space 1}    1.65{col 72}{space 3}0.099{col 80}{space 4}-.0550808{col 93}{space 3} .6375501
{txt}{space 27}Republican  {c |}{col 40}{res}{space 2} 1.145718{col 52}{space 2} .1382781{col 63}{space 1}    8.29{col 72}{space 3}0.000{col 80}{space 4} .8746975{col 93}{space 3} 1.416738
{txt}{space 38} {c |}
{space 25}trust_fed_num {c |}
{space 29}A little  {c |}{col 40}{res}{space 2} -.159685{col 52}{space 2} .1415945{col 63}{space 1}   -1.13{col 72}{space 3}0.259{col 80}{space 4}-.4372052{col 93}{space 3} .1178351
{txt}{space 32}A lot  {c |}{col 40}{res}{space 2} .8060216{col 52}{space 2} .2562367{col 63}{space 1}    3.15{col 72}{space 3}0.002{col 80}{space 4} .3038069{col 93}{space 3} 1.308236
{txt}{space 38} {c |}
{space 25}trust_nondiff {c |}
{space 24}Straightlined  {c |}{col 40}{res}{space 2} .3499561{col 52}{space 2} .1438398{col 63}{space 1}    2.43{col 72}{space 3}0.015{col 80}{space 4} .0680353{col 93}{space 3} .6318768
{txt}{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 33}/cut1 {c |}{col 40}{res}{space 2}-.5062851{col 52}{space 2} .5681812{col 80}{space 4}  -1.6199{col 93}{space 3} .6073295
{txt}{space 33}/cut2 {c |}{col 40}{res}{space 2} .7090697{col 52}{space 2} .5668539{col 80}{space 4}-.4019434{col 93}{space 3} 1.820083
{txt}{space 33}/cut3 {c |}{col 40}{res}{space 2} 1.752009{col 52}{space 2} .5700834{col 80}{space 4} .6346658{col 93}{space 3} 2.869352
{txt}{space 33}/cut4 {c |}{col 40}{res}{space 2} 2.931842{col 52}{space 2} .5730025{col 80}{space 4} 1.808778{col 93}{space 3} 4.054907
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. est sto prc1_m4_ologit
{txt}
{com}. 
. 
. *** Basic Interaction, Hostile x Threat
.         
. ologit prc1_DV_main                                                                                                                     ///
>                 i.prc1_treat_level                                                                                                              ///
>                 i.prc1_treat_hostile##i.threat_prc_num i.prc1_treat_china                               ///
>                 i.prc1_mancheck `technical'     `demographics'                                                          ///
>                 , robust

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-1596.8306}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-1528.3855}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-1527.8541}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-1527.8536}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-1527.8536}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:997}
{txt}{col 57}{lalign 13:Wald chi2({res:17})}{col 70} = {res}{ralign 6:134.71}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-1527.8536}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0432}

{txt}{hline 34}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 35}{c |}{col 47}    Robust
{col 1}                     prc1_DV_main{col 35}{c |} Coefficient{col 47}  std. err.{col 59}      z{col 67}   P>|z|{col 75}     [95% con{col 88}f. interval]
{hline 34}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}prc1_treat_level {c |}
{space 25}Federal  {c |}{col 35}{res}{space 2}  .051433{col 47}{space 2} .1149174{col 58}{space 1}    0.45{col 67}{space 3}0.654{col 75}{space 4}-.1738009{col 88}{space 3} .2766669
{txt}{space 33} {c |}
{space 15}prc1_treat_hostile {c |}
{space 25}Hostile  {c |}{col 35}{res}{space 2}-.2149234{col 47}{space 2}  .598968{col 58}{space 1}   -0.36{col 67}{space 3}0.720{col 75}{space 4}-1.388879{col 88}{space 3} .9590323
{txt}{space 33} {c |}
{space 19}threat_prc_num {c |}
{space 18}A minor threat  {c |}{col 35}{res}{space 2}-.2505834{col 47}{space 2} .5116786{col 58}{space 1}   -0.49{col 67}{space 3}0.624{col 75}{space 4}-1.253455{col 88}{space 3} .7522881
{txt}{space 18}A major threat  {c |}{col 35}{res}{space 2} .4571339{col 47}{space 2} .4996286{col 58}{space 1}    0.91{col 67}{space 3}0.360{col 75}{space 4}-.5221201{col 88}{space 3} 1.436388
{txt}{space 33} {c |}
prc1_treat_hostile#threat_prc_num {c |}
{space 10}Hostile#A minor threat  {c |}{col 35}{res}{space 2} .1494895{col 47}{space 2} .6262792{col 58}{space 1}    0.24{col 67}{space 3}0.811{col 75}{space 4}-1.077995{col 88}{space 3} 1.376974
{txt}{space 10}Hostile#A major threat  {c |}{col 35}{res}{space 2} .0559169{col 47}{space 2} .6122851{col 58}{space 1}    0.09{col 67}{space 3}0.927{col 75}{space 4} -1.14414{col 88}{space 3} 1.255974
{txt}{space 33} {c |}
{space 17}prc1_treat_china {c |}
{space 17}China expresses  {c |}{col 35}{res}{space 2} .0027621{col 47}{space 2} .1403331{col 58}{space 1}    0.02{col 67}{space 3}0.984{col 75}{space 4}-.2722858{col 88}{space 3}   .27781
{txt}{space 33} {c |}
{space 20}prc1_mancheck {c |}
{space 7}Passed manipulation check  {c |}{col 35}{res}{space 2}-.0581308{col 47}{space 2} .1232354{col 58}{space 1}   -0.47{col 67}{space 3}0.637{col 75}{space 4}-.2996678{col 88}{space 3} .1834062
{txt}{space 33} {c |}
{space 27}mobile {c |}
{space 26}Mobile  {c |}{col 35}{res}{space 2}-.1159244{col 47}{space 2} .1265616{col 58}{space 1}   -0.92{col 67}{space 3}0.360{col 75}{space 4}-.3639805{col 88}{space 3} .1321318
{txt}{space 30}age {c |}{col 35}{res}{space 2} .0172905{col 47}{space 2} .0197789{col 58}{space 1}    0.87{col 67}{space 3}0.382{col 75}{space 4}-.0214754{col 88}{space 3} .0560564
{txt}{space 33} {c |}
{space 22}c.age#c.age {c |}{col 35}{res}{space 2}-.0001236{col 47}{space 2} .0002073{col 58}{space 1}   -0.60{col 67}{space 3}0.551{col 75}{space 4}-.0005299{col 88}{space 3} .0002828
{txt}{space 33} {c |}
{space 27}female {c |}{col 35}{res}{space 2} -.156817{col 47}{space 2} .1149531{col 58}{space 1}   -1.36{col 67}{space 3}0.173{col 75}{space 4}-.3821209{col 88}{space 3} .0684868
{txt}{space 28}white {c |}{col 35}{res}{space 2}-.0734301{col 47}{space 2}  .141029{col 58}{space 1}   -0.52{col 67}{space 3}0.603{col 75}{space 4}-.3498418{col 88}{space 3} .2029816
{txt}{space 25}hispanic {c |}{col 35}{res}{space 2}-.0422339{col 47}{space 2} .1733513{col 58}{space 1}   -0.24{col 67}{space 3}0.808{col 75}{space 4}-.3819962{col 88}{space 3} .2975284
{txt}{space 26}college {c |}{col 35}{res}{space 2}-.1457335{col 47}{space 2} .1231751{col 58}{space 1}   -1.18{col 67}{space 3}0.237{col 75}{space 4}-.3871522{col 88}{space 3} .0956852
{txt}{space 33} {c |}
{space 26}pid3alt {c |}
{space 21}Independent  {c |}{col 35}{res}{space 2} .2502892{col 47}{space 2} .1725569{col 58}{space 1}    1.45{col 67}{space 3}0.147{col 75}{space 4}-.0879162{col 88}{space 3} .5884946
{txt}{space 22}Republican  {c |}{col 35}{res}{space 2} 1.056032{col 47}{space 2} .1332937{col 58}{space 1}    7.92{col 67}{space 3}0.000{col 75}{space 4} .7947812{col 88}{space 3} 1.317283
{txt}{hline 34}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 28}/cut1 {c |}{col 35}{res}{space 2}-.7834833{col 47}{space 2} .6750785{col 75}{space 4}-2.106613{col 88}{space 3} .5396462
{txt}{space 28}/cut2 {c |}{col 35}{res}{space 2} .4316705{col 47}{space 2} .6721239{col 75}{space 4}-.8856682{col 88}{space 3} 1.749009
{txt}{space 28}/cut3 {c |}{col 35}{res}{space 2} 1.471317{col 47}{space 2} .6732578{col 75}{space 4} .1517561{col 88}{space 3} 2.790878
{txt}{space 28}/cut4 {c |}{col 35}{res}{space 2} 2.640693{col 47}{space 2} .6743762{col 75}{space 4}  1.31894{col 88}{space 3} 3.962446
{txt}{hline 34}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto prc1_m5_ologit
{txt}
{com}.         
.         
. 
. 
. *** Double Interaction, Federal x Trust
. 
. ologit prc1_DV_main                                                                                                                     ///
>                 i.prc1_treat_level##i.prc1_trust_level_more                                                     ///
>                 i.prc1_treat_hostile##i.threat_prc_num i.prc1_treat_china                               ///
>                 i.prc1_mancheck `technical'     `demographics'                                                          ///
>                 i.trust_fed_num i.trust_nondiff                                                                                 ///
>                 , robust

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-1596.8306}  
Iteration 1:{space 2}Log pseudolikelihood = {res: -1512.364}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-1511.5406}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-1511.5395}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-1511.5395}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:997}
{txt}{col 57}{lalign 13:Wald chi2({res:24})}{col 70} = {res}{ralign 6:169.62}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-1511.5395}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0534}

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 40}{c |}{col 52}    Robust
{col 1}                          prc1_DV_main{col 40}{c |} Coefficient{col 52}  std. err.{col 64}      z{col 72}   P>|z|{col 80}     [95% con{col 93}f. interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 22}prc1_treat_level {c |}
{space 30}Federal  {c |}{col 40}{res}{space 2} .0950447{col 52}{space 2} .3292023{col 63}{space 1}    0.29{col 72}{space 3}0.773{col 80}{space 4}  -.55018{col 93}{space 3} .7402693
{txt}{space 38} {c |}
{space 17}prc1_trust_level_more {c |}
{space 22}Trusts the Same  {c |}{col 40}{res}{space 2} -.183102{col 52}{space 2} .2865658{col 63}{space 1}   -0.64{col 72}{space 3}0.523{col 80}{space 4}-.7447606{col 93}{space 3} .3785566
{txt}{space 20}Trusts Level More  {c |}{col 40}{res}{space 2}-.1730738{col 52}{space 2} .3206882{col 63}{space 1}   -0.54{col 72}{space 3}0.589{col 80}{space 4}-.8016112{col 93}{space 3} .4554635
{txt}{space 38} {c |}
prc1_treat_level#prc1_trust_level_more {c |}
{space 14}Federal#Trusts the Same  {c |}{col 40}{res}{space 2}-.1241575{col 52}{space 2} .3685604{col 63}{space 1}   -0.34{col 72}{space 3}0.736{col 80}{space 4}-.8465227{col 93}{space 3} .5982077
{txt}{space 12}Federal#Trusts Level More  {c |}{col 40}{res}{space 2} .0055621{col 52}{space 2} .5203228{col 63}{space 1}    0.01{col 72}{space 3}0.991{col 80}{space 4}-1.014252{col 93}{space 3} 1.025376
{txt}{space 38} {c |}
{space 20}prc1_treat_hostile {c |}
{space 30}Hostile  {c |}{col 40}{res}{space 2}-.2581383{col 52}{space 2} .6070624{col 63}{space 1}   -0.43{col 72}{space 3}0.671{col 80}{space 4}-1.447959{col 93}{space 3} .9316822
{txt}{space 38} {c |}
{space 24}threat_prc_num {c |}
{space 23}A minor threat  {c |}{col 40}{res}{space 2}-.1830834{col 52}{space 2} .5028816{col 63}{space 1}   -0.36{col 72}{space 3}0.716{col 80}{space 4}-1.168713{col 93}{space 3} .8025463
{txt}{space 23}A major threat  {c |}{col 40}{res}{space 2} .4885802{col 52}{space 2} .4891642{col 63}{space 1}    1.00{col 72}{space 3}0.318{col 80}{space 4} -.470164{col 93}{space 3} 1.447324
{txt}{space 38} {c |}
{space 5}prc1_treat_hostile#threat_prc_num {c |}
{space 15}Hostile#A minor threat  {c |}{col 40}{res}{space 2} .2009941{col 52}{space 2} .6322563{col 63}{space 1}    0.32{col 72}{space 3}0.751{col 80}{space 4}-1.038205{col 93}{space 3} 1.440194
{txt}{space 15}Hostile#A major threat  {c |}{col 40}{res}{space 2} .1345381{col 52}{space 2} .6194863{col 63}{space 1}    0.22{col 72}{space 3}0.828{col 80}{space 4}-1.079633{col 93}{space 3} 1.348709
{txt}{space 38} {c |}
{space 22}prc1_treat_china {c |}
{space 22}China expresses  {c |}{col 40}{res}{space 2} -.009143{col 52}{space 2} .1428366{col 63}{space 1}   -0.06{col 72}{space 3}0.949{col 80}{space 4}-.2890976{col 93}{space 3} .2708117
{txt}{space 38} {c |}
{space 25}prc1_mancheck {c |}
{space 12}Passed manipulation check  {c |}{col 40}{res}{space 2} -.035163{col 52}{space 2} .1248403{col 63}{space 1}   -0.28{col 72}{space 3}0.778{col 80}{space 4}-.2798456{col 93}{space 3} .2095195
{txt}{space 38} {c |}
{space 32}mobile {c |}
{space 31}Mobile  {c |}{col 40}{res}{space 2}-.0494807{col 52}{space 2} .1296181{col 63}{space 1}   -0.38{col 72}{space 3}0.703{col 80}{space 4}-.3035275{col 93}{space 3} .2045661
{txt}{space 35}age {c |}{col 40}{res}{space 2} .0166948{col 52}{space 2} .0202398{col 63}{space 1}    0.82{col 72}{space 3}0.409{col 80}{space 4}-.0229744{col 93}{space 3} .0563641
{txt}{space 38} {c |}
{space 27}c.age#c.age {c |}{col 40}{res}{space 2}-.0000906{col 52}{space 2} .0002121{col 63}{space 1}   -0.43{col 72}{space 3}0.669{col 80}{space 4}-.0005062{col 93}{space 3}  .000325
{txt}{space 38} {c |}
{space 32}female {c |}{col 40}{res}{space 2}-.1333967{col 52}{space 2} .1169902{col 63}{space 1}   -1.14{col 72}{space 3}0.254{col 80}{space 4}-.3626932{col 93}{space 3} .0958998
{txt}{space 33}white {c |}{col 40}{res}{space 2}-.1015693{col 52}{space 2} .1436049{col 63}{space 1}   -0.71{col 72}{space 3}0.479{col 80}{space 4}-.3830298{col 93}{space 3} .1798912
{txt}{space 30}hispanic {c |}{col 40}{res}{space 2}-.0496735{col 52}{space 2} .1750645{col 63}{space 1}   -0.28{col 72}{space 3}0.777{col 80}{space 4}-.3927936{col 93}{space 3} .2934466
{txt}{space 31}college {c |}{col 40}{res}{space 2}-.1618331{col 52}{space 2} .1267501{col 63}{space 1}   -1.28{col 72}{space 3}0.202{col 80}{space 4}-.4102588{col 93}{space 3} .0865925
{txt}{space 38} {c |}
{space 31}pid3alt {c |}
{space 26}Independent  {c |}{col 40}{res}{space 2} .3021281{col 52}{space 2} .1745106{col 63}{space 1}    1.73{col 72}{space 3}0.083{col 80}{space 4}-.0399064{col 93}{space 3} .6441626
{txt}{space 27}Republican  {c |}{col 40}{res}{space 2} 1.076958{col 52}{space 2} .1389292{col 63}{space 1}    7.75{col 72}{space 3}0.000{col 80}{space 4}  .804662{col 93}{space 3} 1.349255
{txt}{space 38} {c |}
{space 25}trust_fed_num {c |}
{space 29}A little  {c |}{col 40}{res}{space 2}-.0982845{col 52}{space 2} .1455129{col 63}{space 1}   -0.68{col 72}{space 3}0.499{col 80}{space 4}-.3834845{col 93}{space 3} .1869155
{txt}{space 32}A lot  {c |}{col 40}{res}{space 2} .8042134{col 52}{space 2} .2526954{col 63}{space 1}    3.18{col 72}{space 3}0.001{col 80}{space 4} .3089395{col 93}{space 3} 1.299487
{txt}{space 38} {c |}
{space 25}trust_nondiff {c |}
{space 24}Straightlined  {c |}{col 40}{res}{space 2} .3922485{col 52}{space 2} .1443356{col 63}{space 1}    2.72{col 72}{space 3}0.007{col 80}{space 4} .1093559{col 93}{space 3}  .675141
{txt}{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 33}/cut1 {c |}{col 40}{res}{space 2} -.640657{col 52}{space 2}  .757603{col 80}{space 4}-2.125532{col 93}{space 3} .8442176
{txt}{space 33}/cut2 {c |}{col 40}{res}{space 2} .5949526{col 52}{space 2} .7548126{col 80}{space 4} -.884453{col 93}{space 3} 2.074358
{txt}{space 33}/cut3 {c |}{col 40}{res}{space 2} 1.656109{col 52}{space 2} .7557983{col 80}{space 4} .1747718{col 93}{space 3} 3.137447
{txt}{space 33}/cut4 {c |}{col 40}{res}{space 2} 2.850968{col 52}{space 2} .7558299{col 80}{space 4} 1.369568{col 93}{space 3} 4.332367
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto prc1_m6_ologit
{txt}
{com}. 
. ***** Table
.                 
. esttab                                                                                                                                                  ///
>         prc1_m2_ols prc1_m2_logit  prc1_m2_ologit                                                                       ///
>         prc1_m6_ols prc1_m6_logit       prc1_m6_ologit                                                                  ///
>         using "${c -(}MyProject{c )-}/APPENDIX Table A5.tex"                      ///
>         , replace longtable lab noomit nobase  nogap compress                                           ///
>         se(%9.1f) b(%9.1f)      star(+ 0.10 * 0.051)                                                                    ///
>         drop(*cons *cut*)                                                                                                                       ///
>         refcat(2.prc1_treat_level "\textit{c -(}Government Level{c )-}"                                           ///
>                         1.prc1_treat_hostile "\textit{c -(}China Reaction{c )-}"                                          ///
>                         1.prc1_treat_china "\textit{c -(}Cuegiver{c )-}"                                                  ///
>                         1.prc1_mancheck "\textit{c -(}Manipulation Check{c )-}"                                           ///
>                         1.mobile "\textit{c -(}Survey Mode{c )-}"                                                                         ///
>                         age "\textit{c -(}Covariates{c )-}"                                                                                       ///     
>                         2.trust_fed_num "\textit{c -(}Trust in Fed Govt{c )-}"                                            ///
>                         1.trust_nondiff "\textit{c -(}Trust Grid Straightlining{c )-}"                            ///
>                         2.threat_prc_num "\textit{c -(}Views of PRC{c )-}"                                                        ///
>                         2.prc1_trust_level_more "\textit{c -(}Relative Trust{c )-}"                                       ///
>                 , nolabel)                                                                                                                              ///
>         mtitles("OLS" "Logit" "Ologit" "OLS" "Logit"  "Ologit")                 ///
>         indicate("Covariates = age c.age#c.age female white hispanic college 1.pid3alt 2.pid3alt")      ///
>         nonotes addnote("Robust standard errors in parantheses. Covariates for age, gender, race," "ethnicity, educational attainment, and partisanship included but not displayed." )                                          ///
>         title("Experiment 1, Principal Results \label{c -(}tab:exp1main{c )-}")           
{res}{txt}(output written to {browse  `"~/Dropbox/0001 Academic Projects/Completed/0171 Parasecurity and Education/Replication/APPENDIX Table A5.tex"'})

{com}.                                 
.                                         
. 
. * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * 
. *                                                                       mlogit                                                                    *
. * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * 
. 
. ****** Demographics
. 
. mlogit prc1_DV_main_trichot                                                                                                                     ///
>                 i.prc1_treat_level i.prc1_treat_hostile i.prc1_treat_china                              ///
>                 i.prc1_mancheck `technical'     `demographics'                                                          ///
>                 , robust base(3)

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-1076.3516}  
Iteration 1:{space 2}Log pseudolikelihood = {res: -999.5266}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-998.87352}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-998.87323}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-998.87323}  
{res}
{txt}{col 1}Multinomial logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:1,004}
{txt}{col 57}{lalign 13:Wald chi2({res:26})}{col 70} = {res}{ralign 6:138.70}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-998.87323}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0720}

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}      prc1_DV_main_trichot{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      z{col 60}   P>|z|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Oppose                     {txt}{c |}
{space 10}prc1_treat_level {c |}
{space 18}Federal  {c |}{col 28}{res}{space 2}-.1334341{col 40}{space 2} .1530703{col 51}{space 1}   -0.87{col 60}{space 3}0.383{col 68}{space 4}-.4334463{col 81}{space 3} .1665782
{txt}{space 26} {c |}
{space 8}prc1_treat_hostile {c |}
{space 18}Hostile  {c |}{col 28}{res}{space 2} .1861579{col 40}{space 2} .1965442{col 51}{space 1}    0.95{col 60}{space 3}0.344{col 68}{space 4}-.1990616{col 81}{space 3} .5713774
{txt}{space 26} {c |}
{space 10}prc1_treat_china {c |}
{space 10}China expresses  {c |}{col 28}{res}{space 2} .0291822{col 40}{space 2}  .186398{col 51}{space 1}    0.16{col 60}{space 3}0.876{col 68}{space 4}-.3361511{col 81}{space 3} .3945156
{txt}{space 26} {c |}
{space 13}prc1_mancheck {c |}
Passed manipulation check  {c |}{col 28}{res}{space 2} .0169854{col 40}{space 2} .1637422{col 51}{space 1}    0.10{col 60}{space 3}0.917{col 68}{space 4}-.3039435{col 81}{space 3} .3379142
{txt}{space 26} {c |}
{space 20}mobile {c |}
{space 19}Mobile  {c |}{col 28}{res}{space 2} .1287807{col 40}{space 2} .1629802{col 51}{space 1}    0.79{col 60}{space 3}0.429{col 68}{space 4}-.1906546{col 81}{space 3}  .448216
{txt}{space 23}age {c |}{col 28}{res}{space 2}-.0211705{col 40}{space 2} .0272688{col 51}{space 1}   -0.78{col 60}{space 3}0.438{col 68}{space 4}-.0746164{col 81}{space 3} .0322755
{txt}{space 26} {c |}
{space 15}c.age#c.age {c |}{col 28}{res}{space 2}  .000133{col 40}{space 2} .0002829{col 51}{space 1}    0.47{col 60}{space 3}0.638{col 68}{space 4}-.0004215{col 81}{space 3} .0006875
{txt}{space 26} {c |}
{space 20}female {c |}{col 28}{res}{space 2} .2216372{col 40}{space 2} .1539966{col 51}{space 1}    1.44{col 60}{space 3}0.150{col 68}{space 4}-.0801906{col 81}{space 3}  .523465
{txt}{space 21}white {c |}{col 28}{res}{space 2} -.123721{col 40}{space 2} .1886565{col 51}{space 1}   -0.66{col 60}{space 3}0.512{col 68}{space 4}-.4934809{col 81}{space 3}  .246039
{txt}{space 18}hispanic {c |}{col 28}{res}{space 2}-.0288622{col 40}{space 2} .2181998{col 51}{space 1}   -0.13{col 60}{space 3}0.895{col 68}{space 4}-.4565259{col 81}{space 3} .3988015
{txt}{space 19}college {c |}{col 28}{res}{space 2} .1519081{col 40}{space 2} .1572817{col 51}{space 1}    0.97{col 60}{space 3}0.334{col 68}{space 4}-.1563585{col 81}{space 3} .4601746
{txt}{space 26} {c |}
{space 19}pid3alt {c |}
{space 14}Independent  {c |}{col 28}{res}{space 2}-.1058015{col 40}{space 2} .2886451{col 51}{space 1}   -0.37{col 60}{space 3}0.714{col 68}{space 4}-.6715355{col 81}{space 3} .4599326
{txt}{space 15}Republican  {c |}{col 28}{res}{space 2}-1.345356{col 40}{space 2} .1662852{col 51}{space 1}   -8.09{col 60}{space 3}0.000{col 68}{space 4}-1.671269{col 81}{space 3}-1.019443
{txt}{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2} 1.214532{col 40}{space 2} .6321796{col 51}{space 1}    1.92{col 60}{space 3}0.055{col 68}{space 4}-.0245169{col 81}{space 3} 2.453582
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Neither                    {txt}{c |}
{space 10}prc1_treat_level {c |}
{space 18}Federal  {c |}{col 28}{res}{space 2} .0357876{col 40}{space 2}  .177195{col 51}{space 1}    0.20{col 60}{space 3}0.840{col 68}{space 4}-.3115083{col 81}{space 3} .3830834
{txt}{space 26} {c |}
{space 8}prc1_treat_hostile {c |}
{space 18}Hostile  {c |}{col 28}{res}{space 2}-.2031458{col 40}{space 2} .2285914{col 51}{space 1}   -0.89{col 60}{space 3}0.374{col 68}{space 4}-.6511766{col 81}{space 3} .2448851
{txt}{space 26} {c |}
{space 10}prc1_treat_china {c |}
{space 10}China expresses  {c |}{col 28}{res}{space 2} .2084229{col 40}{space 2} .2223283{col 51}{space 1}    0.94{col 60}{space 3}0.349{col 68}{space 4}-.2273325{col 81}{space 3} .6441783
{txt}{space 26} {c |}
{space 13}prc1_mancheck {c |}
Passed manipulation check  {c |}{col 28}{res}{space 2}-.3552833{col 40}{space 2} .1877389{col 51}{space 1}   -1.89{col 60}{space 3}0.058{col 68}{space 4}-.7232448{col 81}{space 3} .0126782
{txt}{space 26} {c |}
{space 20}mobile {c |}
{space 19}Mobile  {c |}{col 28}{res}{space 2} .0489487{col 40}{space 2} .1928336{col 51}{space 1}    0.25{col 60}{space 3}0.800{col 68}{space 4}-.3289982{col 81}{space 3} .4268956
{txt}{space 23}age {c |}{col 28}{res}{space 2} .0641649{col 40}{space 2} .0355466{col 51}{space 1}    1.81{col 60}{space 3}0.071{col 68}{space 4}-.0055051{col 81}{space 3} .1338349
{txt}{space 26} {c |}
{space 15}c.age#c.age {c |}{col 28}{res}{space 2}-.0007676{col 40}{space 2} .0003797{col 51}{space 1}   -2.02{col 60}{space 3}0.043{col 68}{space 4}-.0015118{col 81}{space 3}-.0000234
{txt}{space 26} {c |}
{space 20}female {c |}{col 28}{res}{space 2} .0070485{col 40}{space 2}  .180365{col 51}{space 1}    0.04{col 60}{space 3}0.969{col 68}{space 4}-.3464604{col 81}{space 3} .3605575
{txt}{space 21}white {c |}{col 28}{res}{space 2}-.3503759{col 40}{space 2} .2075569{col 51}{space 1}   -1.69{col 60}{space 3}0.091{col 68}{space 4}  -.75718{col 81}{space 3} .0564282
{txt}{space 18}hispanic {c |}{col 28}{res}{space 2}-.0703572{col 40}{space 2} .2521046{col 51}{space 1}   -0.28{col 60}{space 3}0.780{col 68}{space 4}-.5644732{col 81}{space 3} .4237588
{txt}{space 19}college {c |}{col 28}{res}{space 2}-.7388473{col 40}{space 2} .1991526{col 51}{space 1}   -3.71{col 60}{space 3}0.000{col 68}{space 4}-1.129179{col 81}{space 3}-.3485154
{txt}{space 26} {c |}
{space 19}pid3alt {c |}
{space 14}Independent  {c |}{col 28}{res}{space 2} .5009806{col 40}{space 2} .3086944{col 51}{space 1}    1.62{col 60}{space 3}0.105{col 68}{space 4}-.1040494{col 81}{space 3}  1.10601
{txt}{space 15}Republican  {c |}{col 28}{res}{space 2}-.9595965{col 40}{space 2} .1967052{col 51}{space 1}   -4.88{col 60}{space 3}0.000{col 68}{space 4}-1.345132{col 81}{space 3}-.5740613
{txt}{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2}-.4203989{col 40}{space 2} .7787658{col 51}{space 1}   -0.54{col 60}{space 3}0.589{col 68}{space 4}-1.946752{col 81}{space 3} 1.105954
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Support                   {col 28}{txt}{c |}  (base outcome)
{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. est sto prc1_m2_mlogit
{txt}
{com}. 
. 
. *** Basic Interaction, Hostile x Threat
.         
. mlogit prc1_DV_main_trichot                                                                                                                     ///
>                 i.prc1_treat_level                                                                                                              ///
>                 i.prc1_treat_hostile##i.threat_prc_num i.prc1_treat_china                               ///
>                 i.prc1_mancheck `technical'     `demographics'                                                          ///
>                 , robust base(3)

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-1067.6638}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-974.18853}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-973.05095}  
Iteration 3:{space 2}Log pseudolikelihood = {res:   -973.05}  
Iteration 4:{space 2}Log pseudolikelihood = {res:   -973.05}  
{res}
{txt}{col 1}Multinomial logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:997}
{txt}{col 57}{lalign 13:Wald chi2({res:34})}{col 70} = {res}{ralign 6:165.69}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 7:-973.05}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0886}

{txt}{hline 34}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 35}{c |}{col 47}    Robust
{col 1}             prc1_DV_main_trichot{col 35}{c |} Coefficient{col 47}  std. err.{col 59}      z{col 67}   P>|z|{col 75}     [95% con{col 88}f. interval]
{hline 34}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Oppose                            {txt}{c |}
{space 17}prc1_treat_level {c |}
{space 25}Federal  {c |}{col 35}{res}{space 2} -.129045{col 47}{space 2} .1560581{col 58}{space 1}   -0.83{col 67}{space 3}0.408{col 75}{space 4}-.4349133{col 88}{space 3} .1768232
{txt}{space 33} {c |}
{space 15}prc1_treat_hostile {c |}
{space 25}Hostile  {c |}{col 35}{res}{space 2} .8598253{col 47}{space 2} .6189297{col 58}{space 1}    1.39{col 67}{space 3}0.165{col 75}{space 4}-.3532546{col 88}{space 3} 2.072905
{txt}{space 33} {c |}
{space 19}threat_prc_num {c |}
{space 18}A minor threat  {c |}{col 35}{res}{space 2} 1.158293{col 47}{space 2} .5144451{col 58}{space 1}    2.25{col 67}{space 3}0.024{col 75}{space 4} .1499988{col 88}{space 3} 2.166586
{txt}{space 18}A major threat  {c |}{col 35}{res}{space 2}-.0700596{col 47}{space 2} .4760554{col 58}{space 1}   -0.15{col 67}{space 3}0.883{col 75}{space 4}-1.003111{col 88}{space 3} .8629919
{txt}{space 33} {c |}
prc1_treat_hostile#threat_prc_num {c |}
{space 10}Hostile#A minor threat  {c |}{col 35}{res}{space 2}-1.036069{col 47}{space 2} .6944047{col 58}{space 1}   -1.49{col 67}{space 3}0.136{col 75}{space 4}-2.397077{col 88}{space 3} .3249396
{txt}{space 10}Hostile#A major threat  {c |}{col 35}{res}{space 2}-.6622206{col 47}{space 2} .6498664{col 58}{space 1}   -1.02{col 67}{space 3}0.308{col 75}{space 4}-1.935935{col 88}{space 3}  .611494
{txt}{space 33} {c |}
{space 17}prc1_treat_china {c |}
{space 17}China expresses  {c |}{col 35}{res}{space 2}   .10282{col 47}{space 2} .1912988{col 58}{space 1}    0.54{col 67}{space 3}0.591{col 75}{space 4}-.2721188{col 88}{space 3} .4777587
{txt}{space 33} {c |}
{space 20}prc1_mancheck {c |}
{space 7}Passed manipulation check  {c |}{col 35}{res}{space 2} .0145003{col 47}{space 2} .1666055{col 58}{space 1}    0.09{col 67}{space 3}0.931{col 75}{space 4}-.3120404{col 88}{space 3} .3410411
{txt}{space 33} {c |}
{space 27}mobile {c |}
{space 26}Mobile  {c |}{col 35}{res}{space 2} .1449492{col 47}{space 2} .1681919{col 58}{space 1}    0.86{col 67}{space 3}0.389{col 75}{space 4}-.1847009{col 88}{space 3} .4745994
{txt}{space 30}age {c |}{col 35}{res}{space 2}-.0115801{col 47}{space 2} .0281854{col 58}{space 1}   -0.41{col 67}{space 3}0.681{col 75}{space 4}-.0668224{col 88}{space 3} .0436622
{txt}{space 33} {c |}
{space 22}c.age#c.age {c |}{col 35}{res}{space 2} .0000981{col 47}{space 2} .0002893{col 58}{space 1}    0.34{col 67}{space 3}0.734{col 75}{space 4}-.0004688{col 88}{space 3} .0006651
{txt}{space 33} {c |}
{space 27}female {c |}{col 35}{res}{space 2} .2449168{col 47}{space 2}  .156849{col 58}{space 1}    1.56{col 67}{space 3}0.118{col 75}{space 4}-.0625016{col 88}{space 3} .5523352
{txt}{space 28}white {c |}{col 35}{res}{space 2}-.1125878{col 47}{space 2} .1930234{col 58}{space 1}   -0.58{col 67}{space 3}0.560{col 75}{space 4}-.4909067{col 88}{space 3} .2657312
{txt}{space 25}hispanic {c |}{col 35}{res}{space 2} .0318963{col 47}{space 2} .2205564{col 58}{space 1}    0.14{col 67}{space 3}0.885{col 75}{space 4}-.4003863{col 88}{space 3}  .464179
{txt}{space 26}college {c |}{col 35}{res}{space 2}  .148723{col 47}{space 2} .1597012{col 58}{space 1}    0.93{col 67}{space 3}0.352{col 75}{space 4}-.1642857{col 88}{space 3} .4617317
{txt}{space 33} {c |}
{space 26}pid3alt {c |}
{space 21}Independent  {c |}{col 35}{res}{space 2}-.1302611{col 47}{space 2}  .289071{col 58}{space 1}   -0.45{col 67}{space 3}0.652{col 75}{space 4}-.6968298{col 88}{space 3} .4363076
{txt}{space 22}Republican  {c |}{col 35}{res}{space 2} -1.25388{col 47}{space 2} .1708848{col 58}{space 1}   -7.34{col 67}{space 3}0.000{col 75}{space 4}-1.588808{col 88}{space 3}-.9189522
{txt}{space 33} {c |}
{space 28}_cons {c |}{col 35}{res}{space 2} .4836448{col 47}{space 2} .7571784{col 58}{space 1}    0.64{col 67}{space 3}0.523{col 75}{space 4}-1.000397{col 88}{space 3} 1.967687
{txt}{hline 34}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Neither                           {txt}{c |}
{space 17}prc1_treat_level {c |}
{space 25}Federal  {c |}{col 35}{res}{space 2} .0495483{col 47}{space 2} .1797668{col 58}{space 1}    0.28{col 67}{space 3}0.783{col 75}{space 4} -.302788{col 88}{space 3} .4018847
{txt}{space 33} {c |}
{space 15}prc1_treat_hostile {c |}
{space 25}Hostile  {c |}{col 35}{res}{space 2} .8872262{col 47}{space 2} .7059981{col 58}{space 1}    1.26{col 67}{space 3}0.209{col 75}{space 4}-.4965046{col 88}{space 3} 2.270957
{txt}{space 33} {c |}
{space 19}threat_prc_num {c |}
{space 18}A minor threat  {c |}{col 35}{res}{space 2} 1.221715{col 47}{space 2} .6222843{col 58}{space 1}    1.96{col 67}{space 3}0.050{col 75}{space 4} .0020603{col 88}{space 3}  2.44137
{txt}{space 18}A major threat  {c |}{col 35}{res}{space 2} .5118773{col 47}{space 2} .5817389{col 58}{space 1}    0.88{col 67}{space 3}0.379{col 75}{space 4}-.6283099{col 88}{space 3} 1.652065
{txt}{space 33} {c |}
prc1_treat_hostile#threat_prc_num {c |}
{space 10}Hostile#A minor threat  {c |}{col 35}{res}{space 2}  -1.3435{col 47}{space 2} .8015352{col 58}{space 1}   -1.68{col 67}{space 3}0.094{col 75}{space 4} -2.91448{col 88}{space 3} .2274805
{txt}{space 10}Hostile#A major threat  {c |}{col 35}{res}{space 2} -1.17827{col 47}{space 2} .7464897{col 58}{space 1}   -1.58{col 67}{space 3}0.114{col 75}{space 4}-2.641362{col 88}{space 3} .2848232
{txt}{space 33} {c |}
{space 17}prc1_treat_china {c |}
{space 17}China expresses  {c |}{col 35}{res}{space 2} .2456784{col 47}{space 2} .2281231{col 58}{space 1}    1.08{col 67}{space 3}0.282{col 75}{space 4}-.2014347{col 88}{space 3} .6927916
{txt}{space 33} {c |}
{space 20}prc1_mancheck {c |}
{space 7}Passed manipulation check  {c |}{col 35}{res}{space 2}-.3828633{col 47}{space 2} .1910489{col 58}{space 1}   -2.00{col 67}{space 3}0.045{col 75}{space 4}-.7573122{col 88}{space 3}-.0084144
{txt}{space 33} {c |}
{space 27}mobile {c |}
{space 26}Mobile  {c |}{col 35}{res}{space 2} .0566137{col 47}{space 2} .1961671{col 58}{space 1}    0.29{col 67}{space 3}0.773{col 75}{space 4}-.3278667{col 88}{space 3} .4410942
{txt}{space 30}age {c |}{col 35}{res}{space 2} .0640698{col 47}{space 2} .0363329{col 58}{space 1}    1.76{col 67}{space 3}0.078{col 75}{space 4}-.0071414{col 88}{space 3}  .135281
{txt}{space 33} {c |}
{space 22}c.age#c.age {c |}{col 35}{res}{space 2}-.0007328{col 47}{space 2} .0003855{col 58}{space 1}   -1.90{col 67}{space 3}0.057{col 75}{space 4}-.0014883{col 88}{space 3} .0000228
{txt}{space 33} {c |}
{space 27}female {c |}{col 35}{res}{space 2}-.0350616{col 47}{space 2} .1834018{col 58}{space 1}   -0.19{col 67}{space 3}0.848{col 75}{space 4}-.3945225{col 88}{space 3} .3243994
{txt}{space 28}white {c |}{col 35}{res}{space 2}-.3201423{col 47}{space 2} .2106877{col 58}{space 1}   -1.52{col 67}{space 3}0.129{col 75}{space 4}-.7330827{col 88}{space 3} .0927981
{txt}{space 25}hispanic {c |}{col 35}{res}{space 2}-.0532357{col 47}{space 2} .2548054{col 58}{space 1}   -0.21{col 67}{space 3}0.835{col 75}{space 4}-.5526451{col 88}{space 3} .4461736
{txt}{space 26}college {c |}{col 35}{res}{space 2}-.7513195{col 47}{space 2} .2010116{col 58}{space 1}   -3.74{col 67}{space 3}0.000{col 75}{space 4}-1.145295{col 88}{space 3}-.3573441
{txt}{space 33} {c |}
{space 26}pid3alt {c |}
{space 21}Independent  {c |}{col 35}{res}{space 2} .5296087{col 47}{space 2} .3123414{col 58}{space 1}    1.70{col 67}{space 3}0.090{col 75}{space 4}-.0825692{col 88}{space 3} 1.141787
{txt}{space 22}Republican  {c |}{col 35}{res}{space 2}-.9088976{col 47}{space 2} .1998161{col 58}{space 1}   -4.55{col 67}{space 3}0.000{col 75}{space 4} -1.30053{col 88}{space 3}-.5172652
{txt}{space 33} {c |}
{space 28}_cons {c |}{col 35}{res}{space 2} -1.17926{col 47}{space 2} .9033964{col 58}{space 1}   -1.31{col 67}{space 3}0.192{col 75}{space 4}-2.949884{col 88}{space 3} .5913644
{txt}{hline 34}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Support                          {col 35}{txt}{c |}  (base outcome)
{hline 34}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto prc1_m5_mlogit
{txt}
{com}. 
. 
. esttab                  ///
>         prc1_m2_mlogit  prc1_m5_mlogit ///
>         using "${c -(}MyProject{c )-}/APPENDIX Table A7.tex"              ///
>         , replace longtable lab noomit nobase  nogap unstack                                            ///
>         se(%9.1f) b(%9.1f)      star(+ 0.10 * 0.051)                                                                    ///
>         nonotes addnote(Robust standard errors in parantheses)                                          ///
>         title("Experiment 1, Multinomial Logit \label{c -(}tab:exp1mlogit{c )-}")                         ///
>         refcat(2.prc1_treat_level "\textit{c -(}Government Level{c )-}"                                           ///
>                         1.prc1_treat_hostile "\textit{c -(}China Reaction{c )-}"                                          ///
>                         1.prc1_treat_china "\textit{c -(}Cuegiver{c )-}"                                                          ///
>                         1.prc1_mancheck "\textit{c -(}Manipulation Check{c )-}"                                           ///
>                         1.mobile "\textit{c -(}Survey Mode{c )-}"                                                                         ///
>                         age "\textit{c -(}Covariates{c )-}"                                                                                       ///     
>                         2.trust_fed_num "\textit{c -(}Trust in Fed Govt{c )-}"                                            ///
>                         1.trust_nondiff "\textit{c -(}Trust Grid Straightlining{c )-}"                            ///
>                         2.threat_prc_num "\textit{c -(}Views of PRC{c )-}"                                                        ///
>                         2.prc1_trust_level_more "\textit{c -(}Relative Trust{c )-}"                                       ///
>                 , nolabel)                                                                                                                              
{res}{txt}(output written to {browse  `"~/Dropbox/0001 Academic Projects/Completed/0171 Parasecurity and Education/Replication/APPENDIX Table A7.tex"'})

{com}.  
.                 
. ********************************************************************************
. *                                                       Experiment 1: Effects DV                                                           *
. ********************************************************************************
. 
. * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * 
. *                                                                       OLS                                                                               *
. * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * 
. 
. 
. ****** Demographics
. 
. reg prc1_DV_effects_dichot ///
>                 i.prc1_treat_level i.prc1_treat_hostile i.prc1_treat_china                              ///
>                 i.prc1_mancheck `technical'     `demographics'                                                          ///
>                 , robust

{txt}Linear regression                               Number of obs     = {res}     1,004
                                                {txt}F(13, 990)        =  {res}     2.26
                                                {txt}Prob > F          = {res}    0.0064
                                                {txt}R-squared         = {res}    0.0270
                                                {txt}Root MSE          =    {res} .43837

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}    prc1_DV_effects_dichot{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      t{col 60}   P>|t|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}prc1_treat_level {c |}
{space 18}Federal  {c |}{col 28}{res}{space 2}-.0337532{col 40}{space 2}   .02791{col 51}{space 1}   -1.21{col 60}{space 3}0.227{col 68}{space 4}-.0885228{col 81}{space 3} .0210163
{txt}{space 26} {c |}
{space 8}prc1_treat_hostile {c |}
{space 18}Hostile  {c |}{col 28}{res}{space 2} .0678644{col 40}{space 2} .0354437{col 51}{space 1}    1.91{col 60}{space 3}0.056{col 68}{space 4}-.0016889{col 81}{space 3} .1374178
{txt}{space 26} {c |}
{space 10}prc1_treat_china {c |}
{space 10}China expresses  {c |}{col 28}{res}{space 2}-.0214956{col 40}{space 2}  .034317{col 51}{space 1}   -0.63{col 60}{space 3}0.531{col 68}{space 4} -.088838{col 81}{space 3} .0458468
{txt}{space 26} {c |}
{space 13}prc1_mancheck {c |}
Passed manipulation check  {c |}{col 28}{res}{space 2} .0368772{col 40}{space 2} .0297711{col 51}{space 1}    1.24{col 60}{space 3}0.216{col 68}{space 4}-.0215445{col 81}{space 3}  .095299
{txt}{space 26} {c |}
{space 20}mobile {c |}
{space 19}Mobile  {c |}{col 28}{res}{space 2}-.0023043{col 40}{space 2} .0304575{col 51}{space 1}   -0.08{col 60}{space 3}0.940{col 68}{space 4} -.062073{col 81}{space 3} .0574644
{txt}{space 23}age {c |}{col 28}{res}{space 2}-.0063906{col 40}{space 2} .0050374{col 51}{space 1}   -1.27{col 60}{space 3}0.205{col 68}{space 4}-.0162759{col 81}{space 3} .0034946
{txt}{space 26} {c |}
{space 15}c.age#c.age {c |}{col 28}{res}{space 2} .0000587{col 40}{space 2} .0000534{col 51}{space 1}    1.10{col 60}{space 3}0.272{col 68}{space 4}-.0000461{col 81}{space 3} .0001635
{txt}{space 26} {c |}
{space 20}female {c |}{col 28}{res}{space 2} .0711738{col 40}{space 2} .0281778{col 51}{space 1}    2.53{col 60}{space 3}0.012{col 68}{space 4} .0158786{col 81}{space 3} .1264689
{txt}{space 21}white {c |}{col 28}{res}{space 2} .0052779{col 40}{space 2} .0322055{col 51}{space 1}    0.16{col 60}{space 3}0.870{col 68}{space 4}-.0579211{col 81}{space 3} .0684769
{txt}{space 18}hispanic {c |}{col 28}{res}{space 2}-.0091621{col 40}{space 2} .0382363{col 51}{space 1}   -0.24{col 60}{space 3}0.811{col 68}{space 4}-.0841955{col 81}{space 3} .0658713
{txt}{space 19}college {c |}{col 28}{res}{space 2} .0004635{col 40}{space 2} .0293258{col 51}{space 1}    0.02{col 60}{space 3}0.987{col 68}{space 4}-.0570843{col 81}{space 3} .0580113
{txt}{space 26} {c |}
{space 19}pid3alt {c |}
{space 14}Independent  {c |}{col 28}{res}{space 2}  -.05828{col 40}{space 2}  .046893{col 51}{space 1}   -1.24{col 60}{space 3}0.214{col 68}{space 4}-.1503012{col 81}{space 3} .0337412
{txt}{space 15}Republican  {c |}{col 28}{res}{space 2}-.0993055{col 40}{space 2} .0298968{col 51}{space 1}   -3.32{col 60}{space 3}0.001{col 68}{space 4}-.1579738{col 81}{space 3}-.0406372
{txt}{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2} .8616507{col 40}{space 2}  .111538{col 51}{space 1}    7.73{col 60}{space 3}0.000{col 68}{space 4} .6427725{col 81}{space 3} 1.080529
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. est sto prc1_fx_m2_ols
{txt}
{com}. local prc1_fx_m2_olsN = `e(N)'
{txt}
{com}. 
. 
. *** Basic Interaction, Federal x Trust
.                         
. reg prc1_DV_effects_dichot ///
>                 i.prc1_treat_level##i.prc1_trust_level_more                                                     ///
>                 i.prc1_treat_hostile i.prc1_treat_china                                                                 ///
>                 i.prc1_mancheck `technical'     `demographics'                                                          ///
>                 i.trust_fed_num i.trust_nondiff                                                                                 ///
>                 , robust

{txt}Linear regression                               Number of obs     = {res}       998
                                                {txt}F(20, 977)        =  {res}     3.32
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0588
                                                {txt}Root MSE          =    {res}   .433

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 40}{c |}{col 52}    Robust
{col 1}                prc1_DV_effects_dichot{col 40}{c |} Coefficient{col 52}  std. err.{col 64}      t{col 72}   P>|t|{col 80}     [95% con{col 93}f. interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 22}prc1_treat_level {c |}
{space 30}Federal  {c |}{col 40}{res}{space 2}-.0638666{col 52}{space 2} .0774066{col 63}{space 1}   -0.83{col 72}{space 3}0.410{col 80}{space 4} -.215769{col 93}{space 3} .0880357
{txt}{space 38} {c |}
{space 17}prc1_trust_level_more {c |}
{space 22}Trusts the Same  {c |}{col 40}{res}{space 2} .0475283{col 52}{space 2}  .066709{col 63}{space 1}    0.71{col 72}{space 3}0.476{col 80}{space 4}-.0833811{col 93}{space 3} .1784377
{txt}{space 20}Trusts Level More  {c |}{col 40}{res}{space 2} .0439179{col 52}{space 2} .0728972{col 63}{space 1}    0.60{col 72}{space 3}0.547{col 80}{space 4}-.0991352{col 93}{space 3} .1869711
{txt}{space 38} {c |}
prc1_treat_level#prc1_trust_level_more {c |}
{space 14}Federal#Trusts the Same  {c |}{col 40}{res}{space 2} .0651215{col 52}{space 2} .0859733{col 63}{space 1}    0.76{col 72}{space 3}0.449{col 80}{space 4} -.103592{col 93}{space 3}  .233835
{txt}{space 12}Federal#Trusts Level More  {c |}{col 40}{res}{space 2}-.0884725{col 52}{space 2} .1152928{col 63}{space 1}   -0.77{col 72}{space 3}0.443{col 80}{space 4}-.3147224{col 93}{space 3} .1377775
{txt}{space 38} {c |}
{space 20}prc1_treat_hostile {c |}
{space 30}Hostile  {c |}{col 40}{res}{space 2} .0587625{col 52}{space 2} .0351809{col 63}{space 1}    1.67{col 72}{space 3}0.095{col 80}{space 4}-.0102763{col 93}{space 3} .1278013
{txt}{space 38} {c |}
{space 22}prc1_treat_china {c |}
{space 22}China expresses  {c |}{col 40}{res}{space 2}-.0094883{col 52}{space 2} .0339969{col 63}{space 1}   -0.28{col 72}{space 3}0.780{col 80}{space 4}-.0762036{col 93}{space 3} .0572269
{txt}{space 38} {c |}
{space 25}prc1_mancheck {c |}
{space 12}Passed manipulation check  {c |}{col 40}{res}{space 2}    .0241{col 52}{space 2} .0297052{col 63}{space 1}    0.81{col 72}{space 3}0.417{col 80}{space 4}-.0341933{col 93}{space 3} .0823933
{txt}{space 38} {c |}
{space 32}mobile {c |}
{space 31}Mobile  {c |}{col 40}{res}{space 2} -.009656{col 52}{space 2} .0302074{col 63}{space 1}   -0.32{col 72}{space 3}0.749{col 80}{space 4}-.0689349{col 93}{space 3} .0496229
{txt}{space 35}age {c |}{col 40}{res}{space 2}-.0058528{col 52}{space 2} .0050881{col 63}{space 1}   -1.15{col 72}{space 3}0.250{col 80}{space 4}-.0158376{col 93}{space 3}  .004132
{txt}{space 38} {c |}
{space 27}c.age#c.age {c |}{col 40}{res}{space 2} .0000465{col 52}{space 2} .0000542{col 63}{space 1}    0.86{col 72}{space 3}0.392{col 80}{space 4}-.0000599{col 93}{space 3} .0001529
{txt}{space 38} {c |}
{space 32}female {c |}{col 40}{res}{space 2} .0674297{col 52}{space 2} .0278766{col 63}{space 1}    2.42{col 72}{space 3}0.016{col 80}{space 4} .0127248{col 93}{space 3} .1221346
{txt}{space 33}white {c |}{col 40}{res}{space 2} .0037384{col 52}{space 2} .0317202{col 63}{space 1}    0.12{col 72}{space 3}0.906{col 80}{space 4}-.0585092{col 93}{space 3}  .065986
{txt}{space 30}hispanic {c |}{col 40}{res}{space 2}-.0067619{col 52}{space 2}  .037895{col 63}{space 1}   -0.18{col 72}{space 3}0.858{col 80}{space 4}-.0811269{col 93}{space 3} .0676031
{txt}{space 31}college {c |}{col 40}{res}{space 2}  -.00832{col 52}{space 2}   .02891{col 63}{space 1}   -0.29{col 72}{space 3}0.774{col 80}{space 4}-.0650529{col 93}{space 3} .0484128
{txt}{space 38} {c |}
{space 31}pid3alt {c |}
{space 26}Independent  {c |}{col 40}{res}{space 2}-.0420943{col 52}{space 2}  .047377{col 63}{space 1}   -0.89{col 72}{space 3}0.374{col 80}{space 4}-.1350667{col 93}{space 3} .0508782
{txt}{space 27}Republican  {c |}{col 40}{res}{space 2}-.0783806{col 52}{space 2} .0303915{col 63}{space 1}   -2.58{col 72}{space 3}0.010{col 80}{space 4}-.1380208{col 93}{space 3}-.0187404
{txt}{space 38} {c |}
{space 25}trust_fed_num {c |}
{space 29}A little  {c |}{col 40}{res}{space 2} .1050783{col 52}{space 2}  .033186{col 63}{space 1}    3.17{col 72}{space 3}0.002{col 80}{space 4} .0399543{col 93}{space 3} .1702023
{txt}{space 32}A lot  {c |}{col 40}{res}{space 2} .0176219{col 52}{space 2} .0510456{col 63}{space 1}    0.35{col 72}{space 3}0.730{col 80}{space 4}-.0825498{col 93}{space 3} .1177935
{txt}{space 38} {c |}
{space 25}trust_nondiff {c |}
{space 24}Straightlined  {c |}{col 40}{res}{space 2}-.1545169{col 52}{space 2}  .033849{col 63}{space 1}   -4.56{col 72}{space 3}0.000{col 80}{space 4} -.220942{col 93}{space 3}-.0880918
{txt}{space 33}_cons {c |}{col 40}{res}{space 2} .8315279{col 52}{space 2} .1331183{col 63}{space 1}    6.25{col 72}{space 3}0.000{col 80}{space 4} .5702973{col 93}{space 3} 1.092759
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. est sto prc1_fx_m4_ols
{txt}
{com}. 
. 
. *** Basic Interaction, Hostile x Threat
.         
. reg prc1_DV_effects_dichot ///
>                 i.prc1_treat_level                                                      ///
>                 i.prc1_treat_hostile##i.threat_prc_num i.prc1_treat_china                               ///
>                 i.prc1_mancheck `technical'     `demographics'                                                          ///
>                 , robust

{txt}Linear regression                               Number of obs     = {res}       997
                                                {txt}F(17, 979)        =  {res}     2.84
                                                {txt}Prob > F          = {res}    0.0001
                                                {txt}R-squared         = {res}    0.0466
                                                {txt}Root MSE          =    {res} .43476

{txt}{hline 34}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 35}{c |}{col 47}    Robust
{col 1}           prc1_DV_effects_dichot{col 35}{c |} Coefficient{col 47}  std. err.{col 59}      t{col 67}   P>|t|{col 75}     [95% con{col 88}f. interval]
{hline 34}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}prc1_treat_level {c |}
{space 25}Federal  {c |}{col 35}{res}{space 2}-.0353788{col 47}{space 2} .0277962{col 58}{space 1}   -1.27{col 67}{space 3}0.203{col 75}{space 4}-.0899259{col 88}{space 3} .0191682
{txt}{space 33} {c |}
{space 15}prc1_treat_hostile {c |}
{space 25}Hostile  {c |}{col 35}{res}{space 2}-.0373057{col 47}{space 2} .1243147{col 58}{space 1}   -0.30{col 67}{space 3}0.764{col 75}{space 4}-.2812596{col 88}{space 3} .2066482
{txt}{space 33} {c |}
{space 19}threat_prc_num {c |}
{space 18}A minor threat  {c |}{col 35}{res}{space 2} .2354658{col 47}{space 2} .1057267{col 58}{space 1}    2.23{col 67}{space 3}0.026{col 75}{space 4} .0279887{col 88}{space 3} .4429428
{txt}{space 18}A major threat  {c |}{col 35}{res}{space 2} .1613286{col 47}{space 2} .1032261{col 58}{space 1}    1.56{col 67}{space 3}0.118{col 75}{space 4}-.0412413{col 88}{space 3} .3638985
{txt}{space 33} {c |}
prc1_treat_hostile#threat_prc_num {c |}
{space 10}Hostile#A minor threat  {c |}{col 35}{res}{space 2} .0590237{col 47}{space 2} .1333175{col 58}{space 1}    0.44{col 67}{space 3}0.658{col 75}{space 4}-.2025972{col 88}{space 3} .3206446
{txt}{space 10}Hostile#A major threat  {c |}{col 35}{res}{space 2} .1256291{col 47}{space 2} .1299664{col 58}{space 1}    0.97{col 67}{space 3}0.334{col 75}{space 4}-.1294156{col 88}{space 3} .3806739
{txt}{space 33} {c |}
{space 17}prc1_treat_china {c |}
{space 17}China expresses  {c |}{col 35}{res}{space 2}-.0223158{col 47}{space 2} .0341467{col 58}{space 1}   -0.65{col 67}{space 3}0.514{col 75}{space 4} -.089325{col 88}{space 3} .0446933
{txt}{space 33} {c |}
{space 20}prc1_mancheck {c |}
{space 7}Passed manipulation check  {c |}{col 35}{res}{space 2} .0149414{col 47}{space 2} .0299917{col 58}{space 1}    0.50{col 67}{space 3}0.618{col 75}{space 4}-.0439139{col 88}{space 3} .0737967
{txt}{space 33} {c |}
{space 27}mobile {c |}
{space 26}Mobile  {c |}{col 35}{res}{space 2} .0013975{col 47}{space 2} .0304152{col 58}{space 1}    0.05{col 67}{space 3}0.963{col 75}{space 4}-.0582889{col 88}{space 3}  .061084
{txt}{space 30}age {c |}{col 35}{res}{space 2}-.0071629{col 47}{space 2} .0050368{col 58}{space 1}   -1.42{col 67}{space 3}0.155{col 75}{space 4} -.017047{col 88}{space 3} .0027213
{txt}{space 33} {c |}
{space 22}c.age#c.age {c |}{col 35}{res}{space 2} .0000622{col 47}{space 2} .0000532{col 58}{space 1}    1.17{col 67}{space 3}0.243{col 75}{space 4}-.0000422{col 88}{space 3} .0001667
{txt}{space 33} {c |}
{space 27}female {c |}{col 35}{res}{space 2} .0776519{col 47}{space 2} .0281294{col 58}{space 1}    2.76{col 67}{space 3}0.006{col 75}{space 4} .0224511{col 88}{space 3} .1328528
{txt}{space 28}white {c |}{col 35}{res}{space 2}-.0077403{col 47}{space 2} .0323474{col 58}{space 1}   -0.24{col 67}{space 3}0.811{col 75}{space 4}-.0712186{col 88}{space 3} .0557379
{txt}{space 25}hispanic {c |}{col 35}{res}{space 2}-.0062264{col 47}{space 2} .0383193{col 58}{space 1}   -0.16{col 67}{space 3}0.871{col 75}{space 4}-.0814238{col 88}{space 3}  .068971
{txt}{space 26}college {c |}{col 35}{res}{space 2} .0046099{col 47}{space 2}  .029111{col 58}{space 1}    0.16{col 67}{space 3}0.874{col 75}{space 4}-.0525173{col 88}{space 3} .0617371
{txt}{space 33} {c |}
{space 26}pid3alt {c |}
{space 21}Independent  {c |}{col 35}{res}{space 2}-.0602885{col 47}{space 2} .0474134{col 58}{space 1}   -1.27{col 67}{space 3}0.204{col 75}{space 4}-.1533321{col 88}{space 3}  .032755
{txt}{space 22}Republican  {c |}{col 35}{res}{space 2}-.0957688{col 47}{space 2} .0301848{col 58}{space 1}   -3.17{col 67}{space 3}0.002{col 75}{space 4}-.1550031{col 88}{space 3}-.0365345
{txt}{space 33} {c |}
{space 28}_cons {c |}{col 35}{res}{space 2} .7345297{col 47}{space 2} .1428038{col 58}{space 1}    5.14{col 67}{space 3}0.000{col 75}{space 4} .4542929{col 88}{space 3} 1.014766
{txt}{hline 34}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est sto prc1_fx_m5_ols
{txt}
{com}. local prc1_fx_m5_olsN = `e(N)'
{txt}
{com}. 
. *** Double Interaction, Federal x Trust
. 
. reg prc1_DV_effects_dichot ///
>                 i.prc1_treat_level##i.prc1_trust_level_more                                                     ///
>                 i.prc1_treat_hostile##i.threat_prc_num i.prc1_treat_china                               ///
>                 i.prc1_mancheck `technical'     `demographics'                                                          ///
>                 i.trust_fed_num i.trust_nondiff                         ///
>                 , robust

{txt}Linear regression                               Number of obs     = {res}       997
                                                {txt}F(24, 972)        =  {res}     3.57
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0751
                                                {txt}Root MSE          =    {res} .42975

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 40}{c |}{col 52}    Robust
{col 1}                prc1_DV_effects_dichot{col 40}{c |} Coefficient{col 52}  std. err.{col 64}      t{col 72}   P>|t|{col 80}     [95% con{col 93}f. interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 22}prc1_treat_level {c |}
{space 30}Federal  {c |}{col 40}{res}{space 2}-.0747275{col 52}{space 2} .0776533{col 63}{space 1}   -0.96{col 72}{space 3}0.336{col 80}{space 4}-.2271148{col 93}{space 3} .0776599
{txt}{space 38} {c |}
{space 17}prc1_trust_level_more {c |}
{space 22}Trusts the Same  {c |}{col 40}{res}{space 2} .0394909{col 52}{space 2} .0671722{col 63}{space 1}    0.59{col 72}{space 3}0.557{col 80}{space 4}-.0923282{col 93}{space 3} .1713101
{txt}{space 20}Trusts Level More  {c |}{col 40}{res}{space 2} .0361702{col 52}{space 2} .0735012{col 63}{space 1}    0.49{col 72}{space 3}0.623{col 80}{space 4}-.1080691{col 93}{space 3} .1804095
{txt}{space 38} {c |}
prc1_treat_level#prc1_trust_level_more {c |}
{space 14}Federal#Trusts the Same  {c |}{col 40}{res}{space 2} .0703982{col 52}{space 2} .0860797{col 63}{space 1}    0.82{col 72}{space 3}0.414{col 80}{space 4}-.0985252{col 93}{space 3} .2393216
{txt}{space 12}Federal#Trusts Level More  {c |}{col 40}{res}{space 2}-.0551495{col 52}{space 2} .1156632{col 63}{space 1}   -0.48{col 72}{space 3}0.634{col 80}{space 4}-.2821279{col 93}{space 3} .1718289
{txt}{space 38} {c |}
{space 20}prc1_treat_hostile {c |}
{space 30}Hostile  {c |}{col 40}{res}{space 2}-.0212255{col 52}{space 2} .1228083{col 63}{space 1}   -0.17{col 72}{space 3}0.863{col 80}{space 4}-.2622255{col 93}{space 3} .2197746
{txt}{space 38} {c |}
{space 24}threat_prc_num {c |}
{space 23}A minor threat  {c |}{col 40}{res}{space 2}  .223334{col 52}{space 2} .1046416{col 63}{space 1}    2.13{col 72}{space 3}0.033{col 80}{space 4} .0179846{col 93}{space 3} .4286833
{txt}{space 23}A major threat  {c |}{col 40}{res}{space 2} .1577978{col 52}{space 2} .1025301{col 63}{space 1}    1.54{col 72}{space 3}0.124{col 80}{space 4}-.0434081{col 93}{space 3} .3590038
{txt}{space 38} {c |}
{space 5}prc1_treat_hostile#threat_prc_num {c |}
{space 15}Hostile#A minor threat  {c |}{col 40}{res}{space 2} .0366915{col 52}{space 2} .1315592{col 63}{space 1}    0.28{col 72}{space 3}0.780{col 80}{space 4}-.2214813{col 93}{space 3} .2948643
{txt}{space 15}Hostile#A major threat  {c |}{col 40}{res}{space 2} .1035008{col 52}{space 2} .1284888{col 63}{space 1}    0.81{col 72}{space 3}0.421{col 80}{space 4}-.1486466{col 93}{space 3} .3556482
{txt}{space 38} {c |}
{space 22}prc1_treat_china {c |}
{space 22}China expresses  {c |}{col 40}{res}{space 2}-.0122497{col 52}{space 2} .0338105{col 63}{space 1}   -0.36{col 72}{space 3}0.717{col 80}{space 4}-.0785997{col 93}{space 3} .0541004
{txt}{space 38} {c |}
{space 25}prc1_mancheck {c |}
{space 12}Passed manipulation check  {c |}{col 40}{res}{space 2} .0075056{col 52}{space 2}   .02989{col 63}{space 1}    0.25{col 72}{space 3}0.802{col 80}{space 4}-.0511507{col 93}{space 3} .0661619
{txt}{space 38} {c |}
{space 32}mobile {c |}
{space 31}Mobile  {c |}{col 40}{res}{space 2}-.0072481{col 52}{space 2}  .030003{col 63}{space 1}   -0.24{col 72}{space 3}0.809{col 80}{space 4}-.0661263{col 93}{space 3} .0516301
{txt}{space 35}age {c |}{col 40}{res}{space 2}-.0066597{col 52}{space 2} .0050827{col 63}{space 1}   -1.31{col 72}{space 3}0.190{col 80}{space 4}-.0166341{col 93}{space 3} .0033147
{txt}{space 38} {c |}
{space 27}c.age#c.age {c |}{col 40}{res}{space 2} .0000507{col 52}{space 2} .0000541{col 63}{space 1}    0.94{col 72}{space 3}0.348{col 80}{space 4}-.0000554{col 93}{space 3} .0001568
{txt}{space 38} {c |}
{space 32}female {c |}{col 40}{res}{space 2} .0755449{col 52}{space 2} .0277859{col 63}{space 1}    2.72{col 72}{space 3}0.007{col 80}{space 4} .0210177{col 93}{space 3}  .130072
{txt}{space 33}white {c |}{col 40}{res}{space 2}-.0105745{col 52}{space 2} .0318165{col 63}{space 1}   -0.33{col 72}{space 3}0.740{col 80}{space 4}-.0730113{col 93}{space 3} .0518624
{txt}{space 30}hispanic {c |}{col 40}{res}{space 2}-.0039881{col 52}{space 2} .0377622{col 63}{space 1}   -0.11{col 72}{space 3}0.916{col 80}{space 4} -.078093{col 93}{space 3} .0701168
{txt}{space 31}college {c |}{col 40}{res}{space 2}-.0048578{col 52}{space 2} .0287266{col 63}{space 1}   -0.17{col 72}{space 3}0.866{col 80}{space 4} -.061231{col 93}{space 3} .0515154
{txt}{space 38} {c |}
{space 31}pid3alt {c |}
{space 26}Independent  {c |}{col 40}{res}{space 2} -.042924{col 52}{space 2} .0477341{col 63}{space 1}   -0.90{col 72}{space 3}0.369{col 80}{space 4}-.1365977{col 93}{space 3} .0507498
{txt}{space 27}Republican  {c |}{col 40}{res}{space 2}-.0776346{col 52}{space 2} .0305255{col 63}{space 1}   -2.54{col 72}{space 3}0.011{col 80}{space 4}-.1375381{col 93}{space 3}-.0177311
{txt}{space 38} {c |}
{space 25}trust_fed_num {c |}
{space 29}A little  {c |}{col 40}{res}{space 2} .0956784{col 52}{space 2} .0333504{col 63}{space 1}    2.87{col 72}{space 3}0.004{col 80}{space 4} .0302313{col 93}{space 3} .1611255
{txt}{space 32}A lot  {c |}{col 40}{res}{space 2} .0167568{col 52}{space 2} .0513506{col 63}{space 1}    0.33{col 72}{space 3}0.744{col 80}{space 4}-.0840139{col 93}{space 3} .1175275
{txt}{space 38} {c |}
{space 25}trust_nondiff {c |}
{space 24}Straightlined  {c |}{col 40}{res}{space 2}-.1457083{col 52}{space 2} .0337581{col 63}{space 1}   -4.32{col 72}{space 3}0.000{col 80}{space 4}-.2119554{col 93}{space 3}-.0794612
{txt}{space 33}_cons {c |}{col 40}{res}{space 2} .7175544{col 52}{space 2} .1553153{col 63}{space 1}    4.62{col 72}{space 3}0.000{col 80}{space 4} .4127626{col 93}{space 3} 1.022346
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est sto prc1_fx_m6_ols  
{txt}
{com}. 
. * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * 
. *                                                                       Logit                                                                             *
. * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * 
. 
. ****** Treatments and Technical
. 
. logit prc1_DV_effects_dichot                                                                                                            ///
>                 i.prc1_treat_level i.prc1_treat_hostile i.prc1_treat_china                              ///
>                 i.prc1_mancheck `technical'                                                                                             ///
>                 , robust

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-585.78487}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-583.12506}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-583.12071}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-583.12071}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:1,018}
{txt}{col 57}{lalign 13:Wald chi2({res:5})}{col 70} = {res}{ralign 6:5.09}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.4053}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-583.12071}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0045}

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}    prc1_DV_effects_dichot{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      z{col 60}   P>|z|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}prc1_treat_level {c |}
{space 18}Federal  {c |}{col 28}{res}{space 2}-.1336143{col 40}{space 2} .1441878{col 51}{space 1}   -0.93{col 60}{space 3}0.354{col 68}{space 4}-.4162173{col 81}{space 3} .1489887
{txt}{space 26} {c |}
{space 8}prc1_treat_hostile {c |}
{space 18}Hostile  {c |}{col 28}{res}{space 2} .3309713{col 40}{space 2} .1819881{col 51}{space 1}    1.82{col 60}{space 3}0.069{col 68}{space 4}-.0257188{col 81}{space 3} .6876615
{txt}{space 26} {c |}
{space 10}prc1_treat_china {c |}
{space 10}China expresses  {c |}{col 28}{res}{space 2}-.0880855{col 40}{space 2} .1843461{col 51}{space 1}   -0.48{col 60}{space 3}0.633{col 68}{space 4}-.4493972{col 81}{space 3} .2732262
{txt}{space 26} {c |}
{space 13}prc1_mancheck {c |}
Passed manipulation check  {c |}{col 28}{res}{space 2} .1972161{col 40}{space 2} .1514963{col 51}{space 1}    1.30{col 60}{space 3}0.193{col 68}{space 4}-.0997112{col 81}{space 3} .4941435
{txt}{space 26} {c |}
{space 20}mobile {c |}
{space 19}Mobile  {c |}{col 28}{res}{space 2} .0420044{col 40}{space 2} .1522721{col 51}{space 1}    0.28{col 60}{space 3}0.783{col 68}{space 4}-.2564434{col 81}{space 3} .3404523
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} .7703181{col 40}{space 2} .2000625{col 51}{space 1}    3.85{col 60}{space 3}0.000{col 68}{space 4} .3782027{col 81}{space 3} 1.162433
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. est sto prc1_fx_m1_logit
{txt}
{com}. 
. 
. ****** Demographics
. 
. logit prc1_DV_effects_dichot ///
>                 i.prc1_treat_level i.prc1_treat_hostile i.prc1_treat_china                              ///
>                 i.prc1_mancheck `technical'     `demographics'                                                          ///
>                 , robust

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-580.47373}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-566.78101}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-566.65809}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-566.65807}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:1,004}
{txt}{col 57}{lalign 13:Wald chi2({res:13})}{col 70} = {res}{ralign 6:27.07}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0122}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-566.65807}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0238}

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}    prc1_DV_effects_dichot{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      z{col 60}   P>|z|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}prc1_treat_level {c |}
{space 18}Federal  {c |}{col 28}{res}{space 2} -.177899{col 40}{space 2} .1462913{col 51}{space 1}   -1.22{col 60}{space 3}0.224{col 68}{space 4}-.4646246{col 81}{space 3} .1088267
{txt}{space 26} {c |}
{space 8}prc1_treat_hostile {c |}
{space 18}Hostile  {c |}{col 28}{res}{space 2} .3556784{col 40}{space 2} .1855583{col 51}{space 1}    1.92{col 60}{space 3}0.055{col 68}{space 4}-.0080091{col 81}{space 3} .7193659
{txt}{space 26} {c |}
{space 10}prc1_treat_china {c |}
{space 10}China expresses  {c |}{col 28}{res}{space 2}-.1191798{col 40}{space 2} .1870411{col 51}{space 1}   -0.64{col 60}{space 3}0.524{col 68}{space 4}-.4857736{col 81}{space 3}  .247414
{txt}{space 26} {c |}
{space 13}prc1_mancheck {c |}
Passed manipulation check  {c |}{col 28}{res}{space 2} .1923782{col 40}{space 2} .1549175{col 51}{space 1}    1.24{col 60}{space 3}0.214{col 68}{space 4}-.1112544{col 81}{space 3} .4960109
{txt}{space 26} {c |}
{space 20}mobile {c |}
{space 19}Mobile  {c |}{col 28}{res}{space 2}-.0115596{col 40}{space 2} .1595787{col 51}{space 1}   -0.07{col 60}{space 3}0.942{col 68}{space 4}-.3243281{col 81}{space 3} .3012088
{txt}{space 23}age {c |}{col 28}{res}{space 2}-.0355114{col 40}{space 2} .0276459{col 51}{space 1}   -1.28{col 60}{space 3}0.199{col 68}{space 4}-.0896963{col 81}{space 3} .0186736
{txt}{space 26} {c |}
{space 15}c.age#c.age {c |}{col 28}{res}{space 2} .0003252{col 40}{space 2} .0002882{col 51}{space 1}    1.13{col 60}{space 3}0.259{col 68}{space 4}-.0002396{col 81}{space 3}   .00089
{txt}{space 26} {c |}
{space 20}female {c |}{col 28}{res}{space 2} .3768008{col 40}{space 2} .1494047{col 51}{space 1}    2.52{col 60}{space 3}0.012{col 68}{space 4} .0839729{col 81}{space 3} .6696287
{txt}{space 21}white {c |}{col 28}{res}{space 2} .0263383{col 40}{space 2} .1736715{col 51}{space 1}    0.15{col 60}{space 3}0.879{col 68}{space 4}-.3140517{col 81}{space 3} .3667282
{txt}{space 18}hispanic {c |}{col 28}{res}{space 2}-.0507209{col 40}{space 2} .2039847{col 51}{space 1}   -0.25{col 60}{space 3}0.804{col 68}{space 4}-.4505235{col 81}{space 3} .3490817
{txt}{space 19}college {c |}{col 28}{res}{space 2} .0032026{col 40}{space 2} .1535302{col 51}{space 1}    0.02{col 60}{space 3}0.983{col 68}{space 4}-.2977111{col 81}{space 3} .3041163
{txt}{space 26} {c |}
{space 19}pid3alt {c |}
{space 14}Independent  {c |}{col 28}{res}{space 2}-.3299247{col 40}{space 2} .2460434{col 51}{space 1}   -1.34{col 60}{space 3}0.180{col 68}{space 4}-.8121609{col 81}{space 3} .1523114
{txt}{space 15}Republican  {c |}{col 28}{res}{space 2}-.5285368{col 40}{space 2} .1593442{col 51}{space 1}   -3.32{col 60}{space 3}0.001{col 68}{space 4}-.8408457{col 81}{space 3}-.2162279
{txt}{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2} 1.777643{col 40}{space 2} .6269661{col 51}{space 1}    2.84{col 60}{space 3}0.005{col 68}{space 4} .5488125{col 81}{space 3} 3.006474
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. est sto prc1_fx_m2_logit
{txt}
{com}. local prc1_fx_m2_logitN = `e(N)'
{txt}
{com}. 
. 
. *** Basic Interaction, Federal x Trust
.                         
. logit prc1_DV_effects_dichot ///
>                 i.prc1_treat_level##i.prc1_trust_level_more                                                     ///
>                 i.prc1_treat_hostile i.prc1_treat_china                                                                 ///
>                 i.prc1_mancheck `technical'     `demographics'                                                          ///
>                 i.trust_fed_num i.trust_nondiff                                                                                 ///
>                 , robust

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-577.60557}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-547.72457}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-547.13382}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-547.13306}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-547.13306}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:998}
{txt}{col 57}{lalign 13:Wald chi2({res:20})}{col 70} = {res}{ralign 6:56.28}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-547.13306}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0528}

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 40}{c |}{col 52}    Robust
{col 1}                prc1_DV_effects_dichot{col 40}{c |} Coefficient{col 52}  std. err.{col 64}      z{col 72}   P>|z|{col 80}     [95% con{col 93}f. interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 22}prc1_treat_level {c |}
{space 30}Federal  {c |}{col 40}{res}{space 2}-.3182467{col 52}{space 2} .4220717{col 63}{space 1}   -0.75{col 72}{space 3}0.451{col 80}{space 4}-1.145492{col 93}{space 3} .5089987
{txt}{space 38} {c |}
{space 17}prc1_trust_level_more {c |}
{space 22}Trusts the Same  {c |}{col 40}{res}{space 2} .3003482{col 52}{space 2} .3905158{col 63}{space 1}    0.77{col 72}{space 3}0.442{col 80}{space 4}-.4650487{col 93}{space 3} 1.065745
{txt}{space 20}Trusts Level More  {c |}{col 40}{res}{space 2} .2464681{col 52}{space 2} .4231626{col 63}{space 1}    0.58{col 72}{space 3}0.560{col 80}{space 4}-.5829153{col 93}{space 3} 1.075851
{txt}{space 38} {c |}
prc1_treat_level#prc1_trust_level_more {c |}
{space 14}Federal#Trusts the Same  {c |}{col 40}{res}{space 2} .3312271{col 52}{space 2} .4728938{col 63}{space 1}    0.70{col 72}{space 3}0.484{col 80}{space 4}-.5956276{col 93}{space 3} 1.258082
{txt}{space 12}Federal#Trusts Level More  {c |}{col 40}{res}{space 2}-.5120451{col 52}{space 2} .6195236{col 63}{space 1}   -0.83{col 72}{space 3}0.409{col 80}{space 4}-1.726289{col 93}{space 3} .7021987
{txt}{space 38} {c |}
{space 20}prc1_treat_hostile {c |}
{space 30}Hostile  {c |}{col 40}{res}{space 2} .3248945{col 52}{space 2} .1908709{col 63}{space 1}    1.70{col 72}{space 3}0.089{col 80}{space 4}-.0492055{col 93}{space 3} .6989945
{txt}{space 38} {c |}
{space 22}prc1_treat_china {c |}
{space 22}China expresses  {c |}{col 40}{res}{space 2}-.0648185{col 52}{space 2} .1906668{col 63}{space 1}   -0.34{col 72}{space 3}0.734{col 80}{space 4}-.4385187{col 93}{space 3} .3088816
{txt}{space 38} {c |}
{space 25}prc1_mancheck {c |}
{space 12}Passed manipulation check  {c |}{col 40}{res}{space 2} .1207811{col 52}{space 2} .1605553{col 63}{space 1}    0.75{col 72}{space 3}0.452{col 80}{space 4}-.1939014{col 93}{space 3} .4354637
{txt}{space 38} {c |}
{space 32}mobile {c |}
{space 31}Mobile  {c |}{col 40}{res}{space 2}-.0610722{col 52}{space 2} .1642583{col 63}{space 1}   -0.37{col 72}{space 3}0.710{col 80}{space 4}-.3830125{col 93}{space 3} .2608682
{txt}{space 35}age {c |}{col 40}{res}{space 2}-.0324979{col 52}{space 2} .0286075{col 63}{space 1}   -1.14{col 72}{space 3}0.256{col 80}{space 4}-.0885676{col 93}{space 3} .0235718
{txt}{space 38} {c |}
{space 27}c.age#c.age {c |}{col 40}{res}{space 2}  .000255{col 52}{space 2} .0003004{col 63}{space 1}    0.85{col 72}{space 3}0.396{col 80}{space 4}-.0003338{col 93}{space 3} .0008438
{txt}{space 38} {c |}
{space 32}female {c |}{col 40}{res}{space 2}  .365324{col 52}{space 2} .1522374{col 63}{space 1}    2.40{col 72}{space 3}0.016{col 80}{space 4} .0669442{col 93}{space 3} .6637038
{txt}{space 33}white {c |}{col 40}{res}{space 2} .0160604{col 52}{space 2}  .176947{col 63}{space 1}    0.09{col 72}{space 3}0.928{col 80}{space 4}-.3307495{col 93}{space 3} .3628702
{txt}{space 30}hispanic {c |}{col 40}{res}{space 2}-.0433452{col 52}{space 2}  .208291{col 63}{space 1}   -0.21{col 72}{space 3}0.835{col 80}{space 4}-.4515881{col 93}{space 3} .3648977
{txt}{space 31}college {c |}{col 40}{res}{space 2}-.0470549{col 52}{space 2} .1562366{col 63}{space 1}   -0.30{col 72}{space 3}0.763{col 80}{space 4} -.353273{col 93}{space 3} .2591632
{txt}{space 38} {c |}
{space 31}pid3alt {c |}
{space 26}Independent  {c |}{col 40}{res}{space 2}-.2468394{col 52}{space 2} .2581051{col 63}{space 1}   -0.96{col 72}{space 3}0.339{col 80}{space 4}-.7527162{col 93}{space 3} .2590374
{txt}{space 27}Republican  {c |}{col 40}{res}{space 2}-.4377283{col 52}{space 2} .1674993{col 63}{space 1}   -2.61{col 72}{space 3}0.009{col 80}{space 4} -.766021{col 93}{space 3}-.1094356
{txt}{space 38} {c |}
{space 25}trust_fed_num {c |}
{space 29}A little  {c |}{col 40}{res}{space 2} .5688434{col 52}{space 2} .1803951{col 63}{space 1}    3.15{col 72}{space 3}0.002{col 80}{space 4} .2152755{col 93}{space 3} .9224113
{txt}{space 32}A lot  {c |}{col 40}{res}{space 2} .0811758{col 52}{space 2} .2593628{col 63}{space 1}    0.31{col 72}{space 3}0.754{col 80}{space 4}-.4271659{col 93}{space 3} .5895175
{txt}{space 38} {c |}
{space 25}trust_nondiff {c |}
{space 24}Straightlined  {c |}{col 40}{res}{space 2}-.8613592{col 52}{space 2} .1946577{col 63}{space 1}   -4.42{col 72}{space 3}0.000{col 80}{space 4}-1.242881{col 93}{space 3}-.4798372
{txt}{space 33}_cons {c |}{col 40}{res}{space 2}  1.65161{col 52}{space 2} .7754848{col 63}{space 1}    2.13{col 72}{space 3}0.033{col 80}{space 4} .1316881{col 93}{space 3} 3.171533
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. est sto prc1_fx_m4_logit
{txt}
{com}. 
. 
. *** Basic Interaction, Hostile x Threat
.         
. logit prc1_DV_effects_dichot ///
>                 i.prc1_treat_level                                                      ///
>                 i.prc1_treat_hostile##i.threat_prc_num i.prc1_treat_china                               ///
>                 i.prc1_mancheck `technical'     `demographics'                                                          ///
>                 , robust

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-576.27815}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-553.56098}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-553.14312}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-553.14295}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-553.14295}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:997}
{txt}{col 57}{lalign 13:Wald chi2({res:17})}{col 70} = {res}{ralign 6:43.92}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0004}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-553.14295}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0401}

{txt}{hline 34}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 35}{c |}{col 47}    Robust
{col 1}           prc1_DV_effects_dichot{col 35}{c |} Coefficient{col 47}  std. err.{col 59}      z{col 67}   P>|z|{col 75}     [95% con{col 88}f. interval]
{hline 34}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}prc1_treat_level {c |}
{space 25}Federal  {c |}{col 35}{res}{space 2}-.1916887{col 47}{space 2} .1485355{col 58}{space 1}   -1.29{col 67}{space 3}0.197{col 75}{space 4} -.482813{col 88}{space 3} .0994355
{txt}{space 33} {c |}
{space 15}prc1_treat_hostile {c |}
{space 25}Hostile  {c |}{col 35}{res}{space 2}-.1422337{col 47}{space 2} .5187453{col 58}{space 1}   -0.27{col 67}{space 3}0.784{col 75}{space 4}-1.158956{col 88}{space 3} .8744884
{txt}{space 33} {c |}
{space 19}threat_prc_num {c |}
{space 18}A minor threat  {c |}{col 35}{res}{space 2} 1.135372{col 47}{space 2}  .477409{col 58}{space 1}    2.38{col 67}{space 3}0.017{col 75}{space 4} .1996679{col 88}{space 3} 2.071077
{txt}{space 18}A major threat  {c |}{col 35}{res}{space 2} .7482849{col 47}{space 2} .4455072{col 58}{space 1}    1.68{col 67}{space 3}0.093{col 75}{space 4}-.1248931{col 88}{space 3} 1.621463
{txt}{space 33} {c |}
prc1_treat_hostile#threat_prc_num {c |}
{space 10}Hostile#A minor threat  {c |}{col 35}{res}{space 2} .2874276{col 47}{space 2} .5927529{col 58}{space 1}    0.48{col 67}{space 3}0.628{col 75}{space 4}-.8743467{col 88}{space 3} 1.449202
{txt}{space 10}Hostile#A major threat  {c |}{col 35}{res}{space 2} .6019682{col 47}{space 2} .5513989{col 58}{space 1}    1.09{col 67}{space 3}0.275{col 75}{space 4}-.4787538{col 88}{space 3}  1.68269
{txt}{space 33} {c |}
{space 17}prc1_treat_china {c |}
{space 17}China expresses  {c |}{col 35}{res}{space 2}-.1304921{col 47}{space 2} .1902765{col 58}{space 1}   -0.69{col 67}{space 3}0.493{col 75}{space 4}-.5034273{col 88}{space 3} .2424431
{txt}{space 33} {c |}
{space 20}prc1_mancheck {c |}
{space 7}Passed manipulation check  {c |}{col 35}{res}{space 2} .0852233{col 47}{space 2}   .15949{col 58}{space 1}    0.53{col 67}{space 3}0.593{col 75}{space 4}-.2273713{col 88}{space 3} .3978179
{txt}{space 33} {c |}
{space 27}mobile {c |}
{space 26}Mobile  {c |}{col 35}{res}{space 2}    .0107{col 47}{space 2} .1612667{col 58}{space 1}    0.07{col 67}{space 3}0.947{col 75}{space 4}-.3053769{col 88}{space 3} .3267769
{txt}{space 30}age {c |}{col 35}{res}{space 2}-.0402705{col 47}{space 2}  .027922{col 58}{space 1}   -1.44{col 67}{space 3}0.149{col 75}{space 4}-.0949966{col 88}{space 3} .0144556
{txt}{space 33} {c |}
{space 22}c.age#c.age {c |}{col 35}{res}{space 2} .0003497{col 47}{space 2} .0002893{col 58}{space 1}    1.21{col 67}{space 3}0.227{col 75}{space 4}-.0002173{col 88}{space 3} .0009166
{txt}{space 33} {c |}
{space 27}female {c |}{col 35}{res}{space 2} .4198226{col 47}{space 2} .1528106{col 58}{space 1}    2.75{col 67}{space 3}0.006{col 75}{space 4} .1203193{col 88}{space 3} .7193259
{txt}{space 28}white {c |}{col 35}{res}{space 2}-.0454044{col 47}{space 2} .1803096{col 58}{space 1}   -0.25{col 67}{space 3}0.801{col 75}{space 4}-.3988048{col 88}{space 3} .3079959
{txt}{space 25}hispanic {c |}{col 35}{res}{space 2}-.0321427{col 47}{space 2} .2093835{col 58}{space 1}   -0.15{col 67}{space 3}0.878{col 75}{space 4}-.4425268{col 88}{space 3} .3782413
{txt}{space 26}college {c |}{col 35}{res}{space 2} .0277543{col 47}{space 2} .1558557{col 58}{space 1}    0.18{col 67}{space 3}0.859{col 75}{space 4}-.2777174{col 88}{space 3} .3332259
{txt}{space 33} {c |}
{space 26}pid3alt {c |}
{space 21}Independent  {c |}{col 35}{res}{space 2}-.3472422{col 47}{space 2} .2550993{col 58}{space 1}   -1.36{col 67}{space 3}0.173{col 75}{space 4}-.8472276{col 88}{space 3} .1527432
{txt}{space 22}Republican  {c |}{col 35}{res}{space 2}-.5197651{col 47}{space 2} .1631856{col 58}{space 1}   -3.19{col 67}{space 3}0.001{col 75}{space 4} -.839603{col 88}{space 3}-.1999272
{txt}{space 33} {c |}
{space 28}_cons {c |}{col 35}{res}{space 2} 1.232914{col 47}{space 2} .7256568{col 58}{space 1}    1.70{col 67}{space 3}0.089{col 75}{space 4}-.1893475{col 88}{space 3} 2.655175
{txt}{hline 34}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto prc1_fx_m5_logit
{txt}
{com}. local prc1_fx_m5_logitN = `e(N)'
{txt}
{com}. 
. *** Double Interaction, Federal x Trust
. 
. logit prc1_DV_effects_dichot ///
>                 i.prc1_treat_level##i.prc1_trust_level_more                                                     ///
>                 i.prc1_treat_hostile##i.threat_prc_num i.prc1_treat_china                               ///
>                 i.prc1_mancheck `technical'     `demographics'                                                          ///
>                 i.trust_fed_num i.trust_nondiff                         ///
>                 , robust

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-576.27815}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-538.81489}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-537.86344}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-537.86174}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-537.86174}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:997}
{txt}{col 57}{lalign 13:Wald chi2({res:24})}{col 70} = {res}{ralign 6:70.37}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-537.86174}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0667}

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 40}{c |}{col 52}    Robust
{col 1}                prc1_DV_effects_dichot{col 40}{c |} Coefficient{col 52}  std. err.{col 64}      z{col 72}   P>|z|{col 80}     [95% con{col 93}f. interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 22}prc1_treat_level {c |}
{space 30}Federal  {c |}{col 40}{res}{space 2}-.3886773{col 52}{space 2} .4347155{col 63}{space 1}   -0.89{col 72}{space 3}0.371{col 80}{space 4}-1.240704{col 93}{space 3} .4633493
{txt}{space 38} {c |}
{space 17}prc1_trust_level_more {c |}
{space 22}Trusts the Same  {c |}{col 40}{res}{space 2} .2608407{col 52}{space 2} .4043233{col 63}{space 1}    0.65{col 72}{space 3}0.519{col 80}{space 4}-.5316185{col 93}{space 3}   1.0533
{txt}{space 20}Trusts Level More  {c |}{col 40}{res}{space 2}  .189944{col 52}{space 2} .4354097{col 63}{space 1}    0.44{col 72}{space 3}0.663{col 80}{space 4}-.6634433{col 93}{space 3} 1.043331
{txt}{space 38} {c |}
prc1_treat_level#prc1_trust_level_more {c |}
{space 14}Federal#Trusts the Same  {c |}{col 40}{res}{space 2} .3631063{col 52}{space 2} .4853097{col 63}{space 1}    0.75{col 72}{space 3}0.454{col 80}{space 4}-.5880832{col 93}{space 3} 1.314296
{txt}{space 12}Federal#Trusts Level More  {c |}{col 40}{res}{space 2} -.324299{col 52}{space 2} .6346221{col 63}{space 1}   -0.51{col 72}{space 3}0.609{col 80}{space 4}-1.568136{col 93}{space 3} .9195376
{txt}{space 38} {c |}
{space 20}prc1_treat_hostile {c |}
{space 30}Hostile  {c |}{col 40}{res}{space 2}-.0652678{col 52}{space 2} .5294657{col 63}{space 1}   -0.12{col 72}{space 3}0.902{col 80}{space 4}-1.103002{col 93}{space 3}  .972466
{txt}{space 38} {c |}
{space 24}threat_prc_num {c |}
{space 23}A minor threat  {c |}{col 40}{res}{space 2} 1.098514{col 52}{space 2} .4886821{col 63}{space 1}    2.25{col 72}{space 3}0.025{col 80}{space 4} .1407146{col 93}{space 3} 2.056313
{txt}{space 23}A major threat  {c |}{col 40}{res}{space 2} .7607116{col 52}{space 2} .4602676{col 63}{space 1}    1.65{col 72}{space 3}0.098{col 80}{space 4}-.1413963{col 93}{space 3}  1.66282
{txt}{space 38} {c |}
{space 5}prc1_treat_hostile#threat_prc_num {c |}
{space 15}Hostile#A minor threat  {c |}{col 40}{res}{space 2} .1894633{col 52}{space 2} .6007094{col 63}{space 1}    0.32{col 72}{space 3}0.752{col 80}{space 4}-.9879054{col 93}{space 3} 1.366832
{txt}{space 15}Hostile#A major threat  {c |}{col 40}{res}{space 2}  .508595{col 52}{space 2} .5617602{col 63}{space 1}    0.91{col 72}{space 3}0.365{col 80}{space 4}-.5924347{col 93}{space 3} 1.609625
{txt}{space 38} {c |}
{space 22}prc1_treat_china {c |}
{space 22}China expresses  {c |}{col 40}{res}{space 2}-.0817219{col 52}{space 2} .1941994{col 63}{space 1}   -0.42{col 72}{space 3}0.674{col 80}{space 4}-.4623458{col 93}{space 3} .2989019
{txt}{space 38} {c |}
{space 25}prc1_mancheck {c |}
{space 12}Passed manipulation check  {c |}{col 40}{res}{space 2}  .029538{col 52}{space 2} .1653229{col 63}{space 1}    0.18{col 72}{space 3}0.858{col 80}{space 4}-.2944889{col 93}{space 3} .3535649
{txt}{space 38} {c |}
{space 32}mobile {c |}
{space 31}Mobile  {c |}{col 40}{res}{space 2}-.0477077{col 52}{space 2} .1648334{col 63}{space 1}   -0.29{col 72}{space 3}0.772{col 80}{space 4}-.3707751{col 93}{space 3} .2753598
{txt}{space 35}age {c |}{col 40}{res}{space 2}-.0381217{col 52}{space 2} .0289745{col 63}{space 1}   -1.32{col 72}{space 3}0.188{col 80}{space 4}-.0949107{col 93}{space 3} .0186672
{txt}{space 38} {c |}
{space 27}c.age#c.age {c |}{col 40}{res}{space 2} .0002879{col 52}{space 2} .0003023{col 63}{space 1}    0.95{col 72}{space 3}0.341{col 80}{space 4}-.0003046{col 93}{space 3} .0008803
{txt}{space 38} {c |}
{space 32}female {c |}{col 40}{res}{space 2}  .421271{col 52}{space 2} .1558325{col 63}{space 1}    2.70{col 72}{space 3}0.007{col 80}{space 4} .1158449{col 93}{space 3} .7266971
{txt}{space 33}white {c |}{col 40}{res}{space 2}-.0716387{col 52}{space 2} .1847207{col 63}{space 1}   -0.39{col 72}{space 3}0.698{col 80}{space 4}-.4336847{col 93}{space 3} .2904073
{txt}{space 30}hispanic {c |}{col 40}{res}{space 2}-.0298874{col 52}{space 2} .2110069{col 63}{space 1}   -0.14{col 72}{space 3}0.887{col 80}{space 4}-.4434533{col 93}{space 3} .3836786
{txt}{space 31}college {c |}{col 40}{res}{space 2}-.0254951{col 52}{space 2} .1584755{col 63}{space 1}   -0.16{col 72}{space 3}0.872{col 80}{space 4}-.3361013{col 93}{space 3} .2851112
{txt}{space 38} {c |}
{space 31}pid3alt {c |}
{space 26}Independent  {c |}{col 40}{res}{space 2}-.2618244{col 52}{space 2}  .266549{col 63}{space 1}   -0.98{col 72}{space 3}0.326{col 80}{space 4}-.7842508{col 93}{space 3}  .260602
{txt}{space 27}Republican  {c |}{col 40}{res}{space 2}-.4436519{col 52}{space 2} .1712716{col 63}{space 1}   -2.59{col 72}{space 3}0.010{col 80}{space 4}-.7793381{col 93}{space 3}-.1079657
{txt}{space 38} {c |}
{space 25}trust_fed_num {c |}
{space 29}A little  {c |}{col 40}{res}{space 2} .5221639{col 52}{space 2} .1842872{col 63}{space 1}    2.83{col 72}{space 3}0.005{col 80}{space 4} .1609676{col 93}{space 3} .8833603
{txt}{space 32}A lot  {c |}{col 40}{res}{space 2} .0762228{col 52}{space 2} .2684367{col 63}{space 1}    0.28{col 72}{space 3}0.776{col 80}{space 4}-.4499035{col 93}{space 3} .6023491
{txt}{space 38} {c |}
{space 25}trust_nondiff {c |}
{space 24}Straightlined  {c |}{col 40}{res}{space 2}-.8363219{col 52}{space 2} .1966876{col 63}{space 1}   -4.25{col 72}{space 3}0.000{col 80}{space 4}-1.221822{col 93}{space 3}-.4508214
{txt}{space 33}_cons {c |}{col 40}{res}{space 2}  1.19056{col 52}{space 2} .8374102{col 63}{space 1}    1.42{col 72}{space 3}0.155{col 80}{space 4}-.4507342{col 93}{space 3} 2.831854
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto prc1_fx_m6_logit        
{txt}
{com}. 
. * * *                   *
. *                                                                       Ologit                                                                            *
. * * *                   *
. ****** Treatments and Technical
. ologit prc1_DV_effects                                                                                                                  ///
>                 i.prc1_treat_level i.prc1_treat_hostile i.prc1_treat_china                              ///
>                 i.prc1_mancheck `technical'                                                                                             ///
>                 , robust

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-1233.8236}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-1230.7149}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-1230.7125}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-1230.7125}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:1,018}
{txt}{col 57}{lalign 13:Wald chi2({res:5})}{col 70} = {res}{ralign 6:6.14}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.2925}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-1230.7125}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0025}

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}           prc1_DV_effects{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      z{col 60}   P>|z|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}prc1_treat_level {c |}
{space 18}Federal  {c |}{col 28}{res}{space 2}-.0954515{col 40}{space 2} .1184181{col 51}{space 1}   -0.81{col 60}{space 3}0.420{col 68}{space 4}-.3275468{col 81}{space 3} .1366438
{txt}{space 26} {c |}
{space 8}prc1_treat_hostile {c |}
{space 18}Hostile  {c |}{col 28}{res}{space 2} .3136414{col 40}{space 2} .1524066{col 51}{space 1}    2.06{col 60}{space 3}0.040{col 68}{space 4} .0149299{col 81}{space 3} .6123528
{txt}{space 26} {c |}
{space 10}prc1_treat_china {c |}
{space 10}China expresses  {c |}{col 28}{res}{space 2}-.0678126{col 40}{space 2} .1482366{col 51}{space 1}   -0.46{col 60}{space 3}0.647{col 68}{space 4} -.358351{col 81}{space 3} .2227257
{txt}{space 26} {c |}
{space 13}prc1_mancheck {c |}
Passed manipulation check  {c |}{col 28}{res}{space 2}  .086669{col 40}{space 2} .1299936{col 51}{space 1}    0.67{col 60}{space 3}0.505{col 68}{space 4}-.1681138{col 81}{space 3} .3414517
{txt}{space 26} {c |}
{space 20}mobile {c |}
{space 19}Mobile  {c |}{col 28}{res}{space 2} .1184685{col 40}{space 2} .1257385{col 51}{space 1}    0.94{col 60}{space 3}0.346{col 68}{space 4}-.1279745{col 81}{space 3} .3649116
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}/cut1 {c |}{col 28}{res}{space 2}-3.943147{col 40}{space 2} .3124861{col 68}{space 4}-4.555608{col 81}{space 3}-3.330685
{txt}{space 21}/cut2 {c |}{col 28}{res}{space 2}-2.509072{col 40}{space 2} .2173626{col 68}{space 4}-2.935095{col 81}{space 3}-2.083049
{txt}{space 21}/cut3 {c |}{col 28}{res}{space 2}-.7676583{col 40}{space 2} .1805615{col 68}{space 4}-1.121552{col 81}{space 3}-.4137642
{txt}{space 21}/cut4 {c |}{col 28}{res}{space 2} 1.441576{col 40}{space 2} .1852708{col 68}{space 4} 1.078452{col 81}{space 3}   1.8047
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto prc1_fx_m1_ologit
{txt}
{com}. ****** Demographics
. ologit prc1_DV_effects ///
>                 i.prc1_treat_level i.prc1_treat_hostile i.prc1_treat_china                              ///
>                 i.prc1_mancheck `technical'     `demographics'                                                          ///
>                 , robust

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-1221.6991}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-1200.5156}  
Iteration 2:{space 2}Log pseudolikelihood = {res: -1200.406}  
Iteration 3:{space 2}Log pseudolikelihood = {res: -1200.406}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:1,004}
{txt}{col 57}{lalign 13:Wald chi2({res:13})}{col 70} = {res}{ralign 6:42.02}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0001}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 9:-1200.406}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0174}

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}           prc1_DV_effects{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      z{col 60}   P>|z|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}prc1_treat_level {c |}
{space 18}Federal  {c |}{col 28}{res}{space 2}-.1204518{col 40}{space 2} .1196921{col 51}{space 1}   -1.01{col 60}{space 3}0.314{col 68}{space 4}-.3550439{col 81}{space 3} .1141403
{txt}{space 26} {c |}
{space 8}prc1_treat_hostile {c |}
{space 18}Hostile  {c |}{col 28}{res}{space 2} .2998575{col 40}{space 2} .1552313{col 51}{space 1}    1.93{col 60}{space 3}0.053{col 68}{space 4}-.0043903{col 81}{space 3} .6041054
{txt}{space 26} {c |}
{space 10}prc1_treat_china {c |}
{space 10}China expresses  {c |}{col 28}{res}{space 2}-.0664894{col 40}{space 2}  .148229{col 51}{space 1}   -0.45{col 60}{space 3}0.654{col 68}{space 4}-.3570129{col 81}{space 3}  .224034
{txt}{space 26} {c |}
{space 13}prc1_mancheck {c |}
Passed manipulation check  {c |}{col 28}{res}{space 2} .0693612{col 40}{space 2} .1327931{col 51}{space 1}    0.52{col 60}{space 3}0.601{col 68}{space 4}-.1909084{col 81}{space 3} .3296308
{txt}{space 26} {c |}
{space 20}mobile {c |}
{space 19}Mobile  {c |}{col 28}{res}{space 2}  .021188{col 40}{space 2} .1305885{col 51}{space 1}    0.16{col 60}{space 3}0.871{col 68}{space 4}-.2347607{col 81}{space 3} .2771367
{txt}{space 23}age {c |}{col 28}{res}{space 2}-.0236327{col 40}{space 2} .0208385{col 51}{space 1}   -1.13{col 60}{space 3}0.257{col 68}{space 4}-.0644754{col 81}{space 3}   .01721
{txt}{space 26} {c |}
{space 15}c.age#c.age {c |}{col 28}{res}{space 2}  .000155{col 40}{space 2} .0002142{col 51}{space 1}    0.72{col 60}{space 3}0.469{col 68}{space 4}-.0002648{col 81}{space 3} .0005749
{txt}{space 26} {c |}
{space 20}female {c |}{col 28}{res}{space 2} .2453155{col 40}{space 2} .1233929{col 51}{space 1}    1.99{col 60}{space 3}0.047{col 68}{space 4} .0034699{col 81}{space 3} .4871611
{txt}{space 21}white {c |}{col 28}{res}{space 2}-.2207021{col 40}{space 2}  .153384{col 51}{space 1}   -1.44{col 60}{space 3}0.150{col 68}{space 4}-.5213292{col 81}{space 3} .0799251
{txt}{space 18}hispanic {c |}{col 28}{res}{space 2} .0229428{col 40}{space 2} .1868094{col 51}{space 1}    0.12{col 60}{space 3}0.902{col 68}{space 4}-.3431969{col 81}{space 3} .3890826
{txt}{space 19}college {c |}{col 28}{res}{space 2}-.0854449{col 40}{space 2} .1246422{col 51}{space 1}   -0.69{col 60}{space 3}0.493{col 68}{space 4}-.3297391{col 81}{space 3} .1588492
{txt}{space 26} {c |}
{space 19}pid3alt {c |}
{space 14}Independent  {c |}{col 28}{res}{space 2}  -.38606{col 40}{space 2} .2217971{col 51}{space 1}   -1.74{col 60}{space 3}0.082{col 68}{space 4}-.8207744{col 81}{space 3} .0486544
{txt}{space 15}Republican  {c |}{col 28}{res}{space 2}-.5055913{col 40}{space 2} .1312222{col 51}{space 1}   -3.85{col 60}{space 3}0.000{col 68}{space 4}-.7627821{col 81}{space 3}-.2484005
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}/cut1 {c |}{col 28}{res}{space 2}-5.144899{col 40}{space 2} .5741772{col 68}{space 4}-6.270265{col 81}{space 3}-4.019532
{txt}{space 21}/cut2 {c |}{col 28}{res}{space 2}-3.711815{col 40}{space 2}  .521877{col 68}{space 4}-4.734675{col 81}{space 3}-2.688955
{txt}{space 21}/cut3 {c |}{col 28}{res}{space 2}-1.951988{col 40}{space 2} .5031767{col 68}{space 4}-2.938196{col 81}{space 3}-.9657797
{txt}{space 21}/cut4 {c |}{col 28}{res}{space 2} .3069724{col 40}{space 2} .4965122{col 68}{space 4}-.6661737{col 81}{space 3} 1.280118
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto prc1_fx_m2_ologit
{txt}
{com}. local prc1_fx_m2_ologitN = `e(N)'
{txt}
{com}. *** Basic Interaction, Federal x Trust
.                         
. ologit prc1_DV_effects ///
>                 i.prc1_treat_level##i.prc1_trust_level_more                                                     ///
>                 i.prc1_treat_hostile i.prc1_treat_china                                                                 ///
>                 i.prc1_mancheck `technical'     `demographics'                                                          ///
>                 i.trust_fed_num i.trust_nondiff                                                                                 ///
>                 , robust

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-1213.6177}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-1180.1554}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-1179.8855}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-1179.8854}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-1179.8854}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:998}
{txt}{col 57}{lalign 13:Wald chi2({res:20})}{col 70} = {res}{ralign 6:73.28}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-1179.8854}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0278}

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 40}{c |}{col 52}    Robust
{col 1}                       prc1_DV_effects{col 40}{c |} Coefficient{col 52}  std. err.{col 64}      z{col 72}   P>|z|{col 80}     [95% con{col 93}f. interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 22}prc1_treat_level {c |}
{space 30}Federal  {c |}{col 40}{res}{space 2}-.3909928{col 52}{space 2}  .388744{col 63}{space 1}   -1.01{col 72}{space 3}0.315{col 80}{space 4}-1.152917{col 93}{space 3} .3709315
{txt}{space 38} {c |}
{space 17}prc1_trust_level_more {c |}
{space 22}Trusts the Same  {c |}{col 40}{res}{space 2} .0652112{col 52}{space 2}  .350706{col 63}{space 1}    0.19{col 72}{space 3}0.852{col 80}{space 4}-.6221599{col 93}{space 3} .7525824
{txt}{space 20}Trusts Level More  {c |}{col 40}{res}{space 2} .0117506{col 52}{space 2} .3765199{col 63}{space 1}    0.03{col 72}{space 3}0.975{col 80}{space 4}-.7262149{col 93}{space 3} .7497161
{txt}{space 38} {c |}
prc1_treat_level#prc1_trust_level_more {c |}
{space 14}Federal#Trusts the Same  {c |}{col 40}{res}{space 2} .4198526{col 52}{space 2} .4251763{col 63}{space 1}    0.99{col 72}{space 3}0.323{col 80}{space 4}-.4134776{col 93}{space 3} 1.253183
{txt}{space 12}Federal#Trusts Level More  {c |}{col 40}{res}{space 2}-.0103505{col 52}{space 2} .5471707{col 63}{space 1}   -0.02{col 72}{space 3}0.985{col 80}{space 4}-1.082785{col 93}{space 3} 1.062084
{txt}{space 38} {c |}
{space 20}prc1_treat_hostile {c |}
{space 30}Hostile  {c |}{col 40}{res}{space 2} .2517105{col 52}{space 2} .1561219{col 63}{space 1}    1.61{col 72}{space 3}0.107{col 80}{space 4}-.0542828{col 93}{space 3} .5577038
{txt}{space 38} {c |}
{space 22}prc1_treat_china {c |}
{space 22}China expresses  {c |}{col 40}{res}{space 2}-.0242011{col 52}{space 2} .1503921{col 63}{space 1}   -0.16{col 72}{space 3}0.872{col 80}{space 4}-.3189642{col 93}{space 3} .2705619
{txt}{space 38} {c |}
{space 25}prc1_mancheck {c |}
{space 12}Passed manipulation check  {c |}{col 40}{res}{space 2}-.0079812{col 52}{space 2} .1354288{col 63}{space 1}   -0.06{col 72}{space 3}0.953{col 80}{space 4}-.2734168{col 93}{space 3} .2574543
{txt}{space 38} {c |}
{space 32}mobile {c |}
{space 31}Mobile  {c |}{col 40}{res}{space 2}-.0108637{col 52}{space 2} .1328067{col 63}{space 1}   -0.08{col 72}{space 3}0.935{col 80}{space 4}  -.27116{col 93}{space 3} .2494326
{txt}{space 35}age {c |}{col 40}{res}{space 2}-.0224808{col 52}{space 2} .0215258{col 63}{space 1}   -1.04{col 72}{space 3}0.296{col 80}{space 4}-.0646705{col 93}{space 3}  .019709
{txt}{space 38} {c |}
{space 27}c.age#c.age {c |}{col 40}{res}{space 2} .0001154{col 52}{space 2} .0002234{col 63}{space 1}    0.52{col 72}{space 3}0.605{col 80}{space 4}-.0003224{col 93}{space 3} .0005532
{txt}{space 38} {c |}
{space 32}female {c |}{col 40}{res}{space 2}  .234247{col 52}{space 2} .1251149{col 63}{space 1}    1.87{col 72}{space 3}0.061{col 80}{space 4}-.0109736{col 93}{space 3} .4794676
{txt}{space 33}white {c |}{col 40}{res}{space 2}-.2182683{col 52}{space 2} .1550001{col 63}{space 1}   -1.41{col 72}{space 3}0.159{col 80}{space 4}-.5220629{col 93}{space 3} .0855264
{txt}{space 30}hispanic {c |}{col 40}{res}{space 2} .0116297{col 52}{space 2} .1883893{col 63}{space 1}    0.06{col 72}{space 3}0.951{col 80}{space 4}-.3576065{col 93}{space 3} .3808659
{txt}{space 31}college {c |}{col 40}{res}{space 2}-.1084103{col 52}{space 2} .1256877{col 63}{space 1}   -0.86{col 72}{space 3}0.388{col 80}{space 4}-.3547537{col 93}{space 3} .1379331
{txt}{space 38} {c |}
{space 31}pid3alt {c |}
{space 26}Independent  {c |}{col 40}{res}{space 2}-.3401289{col 52}{space 2} .2278113{col 63}{space 1}   -1.49{col 72}{space 3}0.135{col 80}{space 4}-.7866308{col 93}{space 3} .1063731
{txt}{space 27}Republican  {c |}{col 40}{res}{space 2}-.4502215{col 52}{space 2} .1426448{col 63}{space 1}   -3.16{col 72}{space 3}0.002{col 80}{space 4}-.7298001{col 93}{space 3}-.1706429
{txt}{space 38} {c |}
{space 25}trust_fed_num {c |}
{space 29}A little  {c |}{col 40}{res}{space 2} .2397379{col 52}{space 2} .1460475{col 63}{space 1}    1.64{col 72}{space 3}0.101{col 80}{space 4}  -.04651{col 93}{space 3} .5259858
{txt}{space 32}A lot  {c |}{col 40}{res}{space 2}-.1887034{col 52}{space 2} .2685676{col 63}{space 1}   -0.70{col 72}{space 3}0.482{col 80}{space 4}-.7150863{col 93}{space 3} .3376795
{txt}{space 38} {c |}
{space 25}trust_nondiff {c |}
{space 24}Straightlined  {c |}{col 40}{res}{space 2}-.6631817{col 52}{space 2} .1530535{col 63}{space 1}   -4.33{col 72}{space 3}0.000{col 80}{space 4}-.9631611{col 93}{space 3}-.3632023
{txt}{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 33}/cut1 {c |}{col 40}{res}{space 2}-5.370117{col 52}{space 2} .6853765{col 80}{space 4} -6.71343{col 93}{space 3}-4.026804
{txt}{space 33}/cut2 {c |}{col 40}{res}{space 2}-3.947514{col 52}{space 2} .6515629{col 80}{space 4}-5.224553{col 93}{space 3}-2.670474
{txt}{space 33}/cut3 {c |}{col 40}{res}{space 2}-2.153217{col 52}{space 2} .6427215{col 80}{space 4}-3.412928{col 93}{space 3}-.8935059
{txt}{space 33}/cut4 {c |}{col 40}{res}{space 2}  .148421{col 52}{space 2} .6373088{col 80}{space 4}-1.100681{col 93}{space 3} 1.397523
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto prc1_fx_m4_ologit
{txt}
{com}. *** Basic Interaction, Hostile x Threat
.         
. ologit prc1_DV_effects ///
>                 i.prc1_treat_level                                                      ///
>                 i.prc1_treat_hostile##i.threat_prc_num i.prc1_treat_china                               ///
>                 i.prc1_mancheck `technical'     `demographics'                                                          ///
>                 , robust

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-1212.0379}  
Iteration 1:{space 2}Log pseudolikelihood = {res: -1188.305}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-1188.1588}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-1188.1588}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:997}
{txt}{col 57}{lalign 13:Wald chi2({res:17})}{col 70} = {res}{ralign 6:47.39}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0001}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-1188.1588}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0197}

{txt}{hline 34}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 35}{c |}{col 47}    Robust
{col 1}                  prc1_DV_effects{col 35}{c |} Coefficient{col 47}  std. err.{col 59}      z{col 67}   P>|z|{col 75}     [95% con{col 88}f. interval]
{hline 34}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}prc1_treat_level {c |}
{space 25}Federal  {c |}{col 35}{res}{space 2}-.1288671{col 47}{space 2} .1207058{col 58}{space 1}   -1.07{col 67}{space 3}0.286{col 75}{space 4}-.3654461{col 88}{space 3} .1077119
{txt}{space 33} {c |}
{space 15}prc1_treat_hostile {c |}
{space 25}Hostile  {c |}{col 35}{res}{space 2}-.0471422{col 47}{space 2} .6645426{col 58}{space 1}   -0.07{col 67}{space 3}0.943{col 75}{space 4}-1.349622{col 88}{space 3} 1.255337
{txt}{space 33} {c |}
{space 19}threat_prc_num {c |}
{space 18}A minor threat  {c |}{col 35}{res}{space 2} .5211944{col 47}{space 2} .4841911{col 58}{space 1}    1.08{col 67}{space 3}0.282{col 75}{space 4}-.4278026{col 88}{space 3} 1.470192
{txt}{space 18}A major threat  {c |}{col 35}{res}{space 2} .4712334{col 47}{space 2} .4833671{col 58}{space 1}    0.97{col 67}{space 3}0.330{col 75}{space 4}-.4761488{col 88}{space 3} 1.418616
{txt}{space 33} {c |}
prc1_treat_hostile#threat_prc_num {c |}
{space 10}Hostile#A minor threat  {c |}{col 35}{res}{space 2} .2619311{col 47}{space 2} .6858678{col 58}{space 1}    0.38{col 67}{space 3}0.703{col 75}{space 4}-1.082345{col 88}{space 3} 1.606207
{txt}{space 10}Hostile#A major threat  {c |}{col 35}{res}{space 2} .3580817{col 47}{space 2} .6809995{col 58}{space 1}    0.53{col 67}{space 3}0.599{col 75}{space 4}-.9766527{col 88}{space 3} 1.692816
{txt}{space 33} {c |}
{space 17}prc1_treat_china {c |}
{space 17}China expresses  {c |}{col 35}{res}{space 2}-.0636291{col 47}{space 2} .1483292{col 58}{space 1}   -0.43{col 67}{space 3}0.668{col 75}{space 4} -.354349{col 88}{space 3} .2270909
{txt}{space 33} {c |}
{space 20}prc1_mancheck {c |}
{space 7}Passed manipulation check  {c |}{col 35}{res}{space 2}-.0023238{col 47}{space 2} .1352253{col 58}{space 1}   -0.02{col 67}{space 3}0.986{col 75}{space 4}-.2673604{col 88}{space 3} .2627129
{txt}{space 33} {c |}
{space 27}mobile {c |}
{space 26}Mobile  {c |}{col 35}{res}{space 2} .0345029{col 47}{space 2} .1314123{col 58}{space 1}    0.26{col 67}{space 3}0.793{col 75}{space 4}-.2230604{col 88}{space 3} .2920663
{txt}{space 30}age {c |}{col 35}{res}{space 2}-.0272986{col 47}{space 2} .0211006{col 58}{space 1}   -1.29{col 67}{space 3}0.196{col 75}{space 4}-.0686551{col 88}{space 3} .0140579
{txt}{space 33} {c |}
{space 22}c.age#c.age {c |}{col 35}{res}{space 2} .0001743{col 47}{space 2} .0002165{col 58}{space 1}    0.81{col 67}{space 3}0.421{col 75}{space 4}-.0002499{col 88}{space 3} .0005986
{txt}{space 33} {c |}
{space 27}female {c |}{col 35}{res}{space 2} .2440381{col 47}{space 2} .1246422{col 58}{space 1}    1.96{col 67}{space 3}0.050{col 75}{space 4}-.0002562{col 88}{space 3} .4883324
{txt}{space 28}white {c |}{col 35}{res}{space 2}-.2533459{col 47}{space 2} .1560245{col 58}{space 1}   -1.62{col 67}{space 3}0.104{col 75}{space 4}-.5591483{col 88}{space 3} .0524564
{txt}{space 25}hispanic {c |}{col 35}{res}{space 2} .0151572{col 47}{space 2} .1877025{col 58}{space 1}    0.08{col 67}{space 3}0.936{col 75}{space 4}-.3527328{col 88}{space 3} .3830473
{txt}{space 26}college {c |}{col 35}{res}{space 2}-.0724385{col 47}{space 2} .1245985{col 58}{space 1}   -0.58{col 67}{space 3}0.561{col 75}{space 4} -.316647{col 88}{space 3}   .17177
{txt}{space 33} {c |}
{space 26}pid3alt {c |}
{space 21}Independent  {c |}{col 35}{res}{space 2}-.3685591{col 47}{space 2} .2265387{col 58}{space 1}   -1.63{col 67}{space 3}0.104{col 75}{space 4}-.8125668{col 88}{space 3} .0754486
{txt}{space 22}Republican  {c |}{col 35}{res}{space 2} -.507531{col 47}{space 2} .1341453{col 58}{space 1}   -3.78{col 67}{space 3}0.000{col 75}{space 4}-.7704509{col 88}{space 3} -.244611
{txt}{hline 34}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 28}/cut1 {c |}{col 35}{res}{space 2}-4.901599{col 47}{space 2} .7291601{col 75}{space 4}-6.330727{col 88}{space 3}-3.472472
{txt}{space 28}/cut2 {c |}{col 35}{res}{space 2}-3.483631{col 47}{space 2}  .697753{col 75}{space 4}-4.851201{col 88}{space 3} -2.11606
{txt}{space 28}/cut3 {c |}{col 35}{res}{space 2}-1.701752{col 47}{space 2}   .68572{col 75}{space 4}-3.045738{col 88}{space 3} -.357765
{txt}{space 28}/cut4 {c |}{col 35}{res}{space 2} .5690455{col 47}{space 2} .6828795{col 75}{space 4}-.7693738{col 88}{space 3} 1.907465
{txt}{hline 34}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto prc1_fx_m5_ologit
{txt}
{com}. local prc1_fx_m5_ologitN = `e(N)'
{txt}
{com}. *** Double Interaction, Federal x Trust
. ologit prc1_DV_effects ///
>                 i.prc1_treat_level##i.prc1_trust_level_more                                                     ///
>                 i.prc1_treat_hostile##i.threat_prc_num i.prc1_treat_china                               ///
>                 i.prc1_mancheck `technical'     `demographics'                                                          ///
>                 i.trust_fed_num i.trust_nondiff                         ///
>                 , robust

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-1212.0379}  
Iteration 1:{space 2}Log pseudolikelihood = {res: -1176.283}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-1175.9655}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-1175.9653}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-1175.9653}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:997}
{txt}{col 57}{lalign 13:Wald chi2({res:24})}{col 70} = {res}{ralign 6:77.68}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-1175.9653}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0298}

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 40}{c |}{col 52}    Robust
{col 1}                       prc1_DV_effects{col 40}{c |} Coefficient{col 52}  std. err.{col 64}      z{col 72}   P>|z|{col 80}     [95% con{col 93}f. interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 22}prc1_treat_level {c |}
{space 30}Federal  {c |}{col 40}{res}{space 2}-.4292897{col 52}{space 2} .3895011{col 63}{space 1}   -1.10{col 72}{space 3}0.270{col 80}{space 4}-1.192698{col 93}{space 3} .3341184
{txt}{space 38} {c |}
{space 17}prc1_trust_level_more {c |}
{space 22}Trusts the Same  {c |}{col 40}{res}{space 2}  .034509{col 52}{space 2} .3525875{col 63}{space 1}    0.10{col 72}{space 3}0.922{col 80}{space 4}-.6565498{col 93}{space 3} .7255678
{txt}{space 20}Trusts Level More  {c |}{col 40}{res}{space 2}-.0114274{col 52}{space 2} .3788592{col 63}{space 1}   -0.03{col 72}{space 3}0.976{col 80}{space 4}-.7539778{col 93}{space 3}  .731123
{txt}{space 38} {c |}
prc1_treat_level#prc1_trust_level_more {c |}
{space 14}Federal#Trusts the Same  {c |}{col 40}{res}{space 2} .4444481{col 52}{space 2} .4263277{col 63}{space 1}    1.04{col 72}{space 3}0.297{col 80}{space 4}-.3911389{col 93}{space 3} 1.280035
{txt}{space 12}Federal#Trusts Level More  {c |}{col 40}{res}{space 2} .0614428{col 52}{space 2} .5489347{col 63}{space 1}    0.11{col 72}{space 3}0.911{col 80}{space 4}-1.014449{col 93}{space 3} 1.137335
{txt}{space 38} {c |}
{space 20}prc1_treat_hostile {c |}
{space 30}Hostile  {c |}{col 40}{res}{space 2} .0604194{col 52}{space 2} .6663476{col 63}{space 1}    0.09{col 72}{space 3}0.928{col 80}{space 4}-1.245598{col 93}{space 3} 1.366437
{txt}{space 38} {c |}
{space 24}threat_prc_num {c |}
{space 23}A minor threat  {c |}{col 40}{res}{space 2} .5106174{col 52}{space 2} .4925277{col 63}{space 1}    1.04{col 72}{space 3}0.300{col 80}{space 4}-.4547191{col 93}{space 3} 1.475954
{txt}{space 23}A major threat  {c |}{col 40}{res}{space 2} .4742586{col 52}{space 2} .4906337{col 63}{space 1}    0.97{col 72}{space 3}0.334{col 80}{space 4}-.4873657{col 93}{space 3} 1.435883
{txt}{space 38} {c |}
{space 5}prc1_treat_hostile#threat_prc_num {c |}
{space 15}Hostile#A minor threat  {c |}{col 40}{res}{space 2} .1223978{col 52}{space 2} .6913538{col 63}{space 1}    0.18{col 72}{space 3}0.859{col 80}{space 4}-1.232631{col 93}{space 3} 1.477426
{txt}{space 15}Hostile#A major threat  {c |}{col 40}{res}{space 2} .2250508{col 52}{space 2} .6848235{col 63}{space 1}    0.33{col 72}{space 3}0.742{col 80}{space 4}-1.117179{col 93}{space 3}  1.56728
{txt}{space 38} {c |}
{space 22}prc1_treat_china {c |}
{space 22}China expresses  {c |}{col 40}{res}{space 2}-.0286347{col 52}{space 2} .1505872{col 63}{space 1}   -0.19{col 72}{space 3}0.849{col 80}{space 4}-.3237801{col 93}{space 3} .2665107
{txt}{space 38} {c |}
{space 25}prc1_mancheck {c |}
{space 12}Passed manipulation check  {c |}{col 40}{res}{space 2}-.0490184{col 52}{space 2} .1376736{col 63}{space 1}   -0.36{col 72}{space 3}0.722{col 80}{space 4}-.3188536{col 93}{space 3} .2208169
{txt}{space 38} {c |}
{space 32}mobile {c |}
{space 31}Mobile  {c |}{col 40}{res}{space 2}-.0063023{col 52}{space 2} .1326873{col 63}{space 1}   -0.05{col 72}{space 3}0.962{col 80}{space 4}-.2663647{col 93}{space 3}   .25376
{txt}{space 35}age {c |}{col 40}{res}{space 2}-.0244322{col 52}{space 2} .0216568{col 63}{space 1}   -1.13{col 72}{space 3}0.259{col 80}{space 4}-.0668788{col 93}{space 3} .0180144
{txt}{space 38} {c |}
{space 27}c.age#c.age {c |}{col 40}{res}{space 2} .0001215{col 52}{space 2} .0002245{col 63}{space 1}    0.54{col 72}{space 3}0.588{col 80}{space 4}-.0003185{col 93}{space 3} .0005614
{txt}{space 38} {c |}
{space 32}female {c |}{col 40}{res}{space 2} .2513944{col 52}{space 2} .1261736{col 63}{space 1}    1.99{col 72}{space 3}0.046{col 80}{space 4} .0040988{col 93}{space 3} .4986901
{txt}{space 33}white {c |}{col 40}{res}{space 2}-.2584463{col 52}{space 2} .1574435{col 63}{space 1}   -1.64{col 72}{space 3}0.101{col 80}{space 4}-.5670299{col 93}{space 3} .0501374
{txt}{space 30}hispanic {c |}{col 40}{res}{space 2} .0193342{col 52}{space 2} .1884827{col 63}{space 1}    0.10{col 72}{space 3}0.918{col 80}{space 4}-.3500851{col 93}{space 3} .3887535
{txt}{space 31}college {c |}{col 40}{res}{space 2}-.0958742{col 52}{space 2} .1256518{col 63}{space 1}   -0.76{col 72}{space 3}0.445{col 80}{space 4}-.3421472{col 93}{space 3} .1503987
{txt}{space 38} {c |}
{space 31}pid3alt {c |}
{space 26}Independent  {c |}{col 40}{res}{space 2}-.3314978{col 52}{space 2} .2298692{col 63}{space 1}   -1.44{col 72}{space 3}0.149{col 80}{space 4}-.7820333{col 93}{space 3} .1190376
{txt}{space 27}Republican  {c |}{col 40}{res}{space 2} -.459166{col 52}{space 2} .1441942{col 63}{space 1}   -3.18{col 72}{space 3}0.001{col 80}{space 4}-.7417813{col 93}{space 3}-.1765507
{txt}{space 38} {c |}
{space 25}trust_fed_num {c |}
{space 29}A little  {c |}{col 40}{res}{space 2} .2242972{col 52}{space 2} .1485828{col 63}{space 1}    1.51{col 72}{space 3}0.131{col 80}{space 4}-.0669197{col 93}{space 3} .5155141
{txt}{space 32}A lot  {c |}{col 40}{res}{space 2}-.1978695{col 52}{space 2} .2705708{col 63}{space 1}   -0.73{col 72}{space 3}0.465{col 80}{space 4}-.7281785{col 93}{space 3} .3324396
{txt}{space 38} {c |}
{space 25}trust_nondiff {c |}
{space 24}Straightlined  {c |}{col 40}{res}{space 2}-.6334775{col 52}{space 2} .1547777{col 63}{space 1}   -4.09{col 72}{space 3}0.000{col 80}{space 4}-.9368363{col 93}{space 3}-.3301188
{txt}{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 33}/cut1 {c |}{col 40}{res}{space 2}-5.080804{col 52}{space 2} .8051048{col 80}{space 4}-6.658781{col 93}{space 3}-3.502828
{txt}{space 33}/cut2 {c |}{col 40}{res}{space 2}-3.656009{col 52}{space 2}  .783502{col 80}{space 4}-5.191644{col 93}{space 3}-2.120373
{txt}{space 33}/cut3 {c |}{col 40}{res}{space 2}-1.855721{col 52}{space 2} .7783234{col 80}{space 4}-3.381207{col 93}{space 3}-.3302349
{txt}{space 33}/cut4 {c |}{col 40}{res}{space 2} .4562849{col 52}{space 2} .7759423{col 80}{space 4}-1.064534{col 93}{space 3} 1.977104
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto prc1_fx_m6_ologit
{txt}
{com}. 
. *** Table 
.                 
. esttab                                                                                                                                                  ///
>         prc1_fx_m2_ols prc1_fx_m2_logit prc1_fx_m2_ologit                                                       ///
>         prc1_fx_m6_ols prc1_fx_m6_logit prc1_fx_m6_ologit                                                       ///
>         using "${c -(}MyProject{c )-}/APPENDIX Table A8.tex"                      ///
>         , replace longtable lab noomit nobase  nogap                                                            ///
>         se(%9.1f) b(%9.1f)      star(+ 0.10 * 0.051)    drop(*cons* *cut*)                              ///
>         nonotes addnote(Robust standard errors in parantheses)                                          ///
>         mtitles("OLS" "Logit" "Ologit" "OLS" "Logit" "Ologit")                                          ///
>         refcat(2.prc1_treat_level "\textit{c -(}Government Level{c )-}"                                           ///
>                         1.prc1_treat_hostile "\textit{c -(}China Reaction{c )-}"                                          ///
>                         1.prc1_treat_china "\textit{c -(}Cuegiver{c )-}"                                                          ///
>                         1.prc1_mancheck "\textit{c -(}Manipulation Check{c )-}"                                           ///
>                         1.mobile "\textit{c -(}Survey Mode{c )-}"                                                                         ///
>                         age "\textit{c -(}Covariates{c )-}"                                                                                       ///     
>                         2.trust_fed_num "\textit{c -(}Trust in Fed Govt{c )-}"                                            ///
>                         1.trust_nondiff "\textit{c -(}Trust Grid Straightlining{c )-}"                            ///
>                         2.threat_prc_num "\textit{c -(}Views of PRC{c )-}"                                                        ///
>                         2.prc1_trust_level_more "\textit{c -(}Relative Trust{c )-}"                                       ///
>                 , nolabel)                              ///
>                 title("Experiment 1 Full Results for Effects DV (Higher = Harm Relationship) \label{c -(}tab:exp1fx{c )-}")               
{res}{txt}(output written to {browse  `"~/Dropbox/0001 Academic Projects/Completed/0171 Parasecurity and Education/Replication/APPENDIX Table A8.tex"'})

{com}. 
. 
.         
. ********************************************************************************
. *                                                       Experiment 1: Subsidiary DV                                                *
. ********************************************************************************
. 
. * This code creates variables that allow us to display pretty summaries of the
. * subsidiary variables
. 
. foreach var in                                                                                                                                  ///
>                                         discriminates                                                                                           ///
>                                         harmuni                                                                                                         ///
>                                         protectusa                                                                                                      ///
>                                         science                                                                                                         ///
>                                         screening                                                                                                       ///
>                                         america1st                                                                                                      ///
>                         {c -(}
{txt}  2{com}.                                 clonevar prc1_`var'_100 = prc1_`var'_num
{txt}  3{com}.                                 replace prc1_`var'_100 = 100*prc1_`var'_100
{txt}  4{com}.                                 
.                         {c )-}
{txt}(1,226 missing values generated)
(444 real changes made)
(1,226 missing values generated)
(342 real changes made)
(1,226 missing values generated)
(324 real changes made)
(1,226 missing values generated)
(486 real changes made)
(1,226 missing values generated)
(425 real changes made)
(1,226 missing values generated)
(250 real changes made)

{com}. 
. * This code creates a pretty summary for the subsidiary variables
.                         
. statplot ///
>                 prc1_screening_100                                                                                                              ///
>                 prc1_discriminates_100                                                                                                  ///
>                 prc1_science_100                                                                                                                ///
>                 prc1_harmuni_100                                                                                                                ///
>                 prc1_protectusa_100                                                                                                     ///
>                 prc1_america1st_100                                                                                                             ///
>                 , name(gph_prc1_subsidiary, replace)                                                                    ///
>                 title("Respondents' view of statements (Exp 1)")                                                ///
>                 ytitle("Average percent agreeing")                                                      
{res}{txt}
{com}. 
. gr export "${c -(}MyProject{c )-}/APPENDIX Figure A2.pdf", replace
{txt}{p 0 4 2}
file {bf}
~/Dropbox/0001 Academic Projects/Completed/0171 Parasecurity and Education/Replication/APPENDIX Figure A2.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
. * This code creates a mass analysis of the subsidiary DVs along with saved 
. * models for each of them.              
. 
. foreach var in                                                                                                                                  ///
>                                         discriminates                                                                                           ///
>                                         harmuni                                                                                                         ///
>                                         protectusa                                                                                                      ///
>                                         science                                                                                                         ///
>                                         screening                                                                                                       ///
>                                         america1st                                                                                                      ///
>                         {c -(}
{txt}  2{com}. 
.                                 local demographics age female white hispanic college i.pid3alt
{txt}  3{com}. 
.                                 local technical i.mobile 
{txt}  4{com}.                         
. 
.                         *OLS
.                                 quietly: reg prc1_`var'_num i.prc1_treat_level ///
>                                         i.prc1_treat_hostile, robust
{txt}  5{com}.                                 est sto prc1_s`var'_m0_ols
{txt}  6{com}.                                 
.                                 quietly: reg prc1_`var'_num i.prc1_treat_level i.prc1_treat_hostile     ///
>                                                 `demographics' `technical' , robust
{txt}  7{com}.                                 est sto prc1_s`var'_m2_ols
{txt}  8{com}.                                 
.                                 quietly: reg prc1_`var'_num     i.prc1_treat_level##i.prc1_trust_level  ///
>                                                                         i.prc1_treat_hostile##i.threat_prc_2             ///
>                                                                         `demographics' `technical', robust
{txt}  9{com}.                                 est sto prc1_s`var'_m8_ols
{txt} 10{com}.                                 
.                                 quietly: reg prc1_`var'_num     i.prc1_treat_level##i.threat_prc_2      ///
>                                                                         i.prc1_treat_hostile##i.threat_prc_2             ///
>                                                                         `demographics' `technical', robust
{txt} 11{com}.                                 est sto prc1_s`var'_m9_ols                      
{txt} 12{com}.         
.         {c )-}       
{txt}
{com}.         
.         
. esttab ///
>         prc1_sdiscriminates_m2_ols prc1_sharmuni_m2_ols prc1_sscience_m2_ols                    ///
>         prc1_sprotectusa_m2_ols prc1_samerica1st_m2_ols prc1_sscreening_m2_ols          ///
>         using "${c -(}MyProject{c )-}/APPENDIX Table A9.tex"                      ///
>         , replace longtable lab noomit nobase  nogap  drop(*cons*)                      ///
>         se(%9.1f) b(%9.2f)      star(+ 0.10 * 0.051)                                                                    ///
>         nonotes addnote(Robust standard errors in parantheses)                                          ///
>         varwidth(30)                                            compress                                                                ///
>         interaction(" x ")                                                                                                                      ///
>         refcat(2.prc1_treat_level "\textit{c -(}Government Level{c )-}"                                           ///
>                         1.prc1_treat_hostile "\textit{c -(}China Reaction{c )-}"                                          ///
>                         1.prc1_treat_china "\textit{c -(}Cuegiver{c )-}"                                                          ///
>                         1.prc1_mancheck "\textit{c -(}Manipulation Check{c )-}"                                           ///
>                         1.mobile "\textit{c -(}Survey Mode{c )-}"                                                                         ///
>                         age "\textit{c -(}Covariates{c )-}"                                                                                       ///     
>                         2.trust_fed_num "\textit{c -(}Trust in Fed Govt{c )-}"                                            ///
>                         1.trust_nondiff "\textit{c -(}Trust Grid Straightlining{c )-}"                            ///
>                         2.threat_prc_num "\textit{c -(}Views of PRC{c )-}"                                                        ///
>                         2.prc1_trust_level_more "\textit{c -(}Relative Trust{c )-}"                                       ///
>                 , nolabel)                              ///
>         title("Models of Subsidiary DVs with Demographics \label{c -(}tab:exp1secondary{c )-}")           
{res}{txt}(output written to {browse  `"~/Dropbox/0001 Academic Projects/Completed/0171 Parasecurity and Education/Replication/APPENDIX Table A9.tex"'})

{com}. 
.         
. ********************************************************************************
. *                                                       Experiment 1: Het Effects                                                  *
. ********************************************************************************
. 
. *** Flo Rida (Florida) *********************************************************
. 
. 
. gen florida = (state == "FL")
{txt}
{com}. lab var florida "Florida"
{txt}
{com}. lab def floridalab 0 "Not Florida" 1 "Florida"
{txt}
{com}. lab val florida floridalab
{txt}
{com}. 
. reg prc1_DV_main_dichot ///
>                         i.prc1_treat_level##florida                             ///
>                         i.prc1_treat_hostile##florida                            ///
>                         i.prc1_treat_china##florida                             ///
>                         i.prc1_mancheck mobile age  white hispanic college i.pid3alt            ///
>                         , robust

{txt}Linear regression                               Number of obs     = {res}     1,005
                                                {txt}F(15, 989)        =  {res}     7.97
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1056
                                                {txt}Root MSE          =    {res} .45767

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}       prc1_DV_main_dichot{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      t{col 60}   P>|t|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}prc1_treat_level {c |}
{space 18}Federal  {c |}{col 28}{res}{space 2} .0157598{col 40}{space 2} .0301517{col 51}{space 1}    0.52{col 60}{space 3}0.601{col 68}{space 4}-.0434089{col 81}{space 3} .0749285
{txt}{space 26} {c |}
{space 19}florida {c |}
{space 18}Florida  {c |}{col 28}{res}{space 2}-.0525596{col 40}{space 2} .1279964{col 51}{space 1}   -0.41{col 60}{space 3}0.681{col 68}{space 4}-.3037352{col 81}{space 3}  .198616
{txt}{space 26} {c |}
{space 2}prc1_treat_level#florida {c |}
{space 10}Federal#Florida  {c |}{col 28}{res}{space 2}-.0345389{col 40}{space 2} .1124065{col 51}{space 1}   -0.31{col 60}{space 3}0.759{col 68}{space 4}-.2551214{col 81}{space 3} .1860437
{txt}{space 26} {c |}
{space 8}prc1_treat_hostile {c |}
{space 18}Hostile  {c |}{col 28}{res}{space 2} .0013204{col 40}{space 2} .0388655{col 51}{space 1}    0.03{col 60}{space 3}0.973{col 68}{space 4}-.0749479{col 81}{space 3} .0775888
{txt}{space 26} {c |}
prc1_treat_hostile#florida {c |}
{space 10}Hostile#Florida  {c |}{col 28}{res}{space 2}-.1745641{col 40}{space 2} .1499064{col 51}{space 1}   -1.16{col 60}{space 3}0.245{col 68}{space 4}-.4687353{col 81}{space 3} .1196072
{txt}{space 26} {c |}
{space 10}prc1_treat_china {c |}
{space 10}China expresses  {c |}{col 28}{res}{space 2}-.0320249{col 40}{space 2} .0366612{col 51}{space 1}   -0.87{col 60}{space 3}0.383{col 68}{space 4}-.1039675{col 81}{space 3} .0399178
{txt}{space 26} {c |}
{space 2}prc1_treat_china#florida {c |}
{space 2}China expresses#Florida  {c |}{col 28}{res}{space 2} .2503658{col 40}{space 2} .1264136{col 51}{space 1}    1.98{col 60}{space 3}0.048{col 68}{space 4} .0022961{col 81}{space 3} .4984355
{txt}{space 26} {c |}
{space 13}prc1_mancheck {c |}
Passed manipulation check  {c |}{col 28}{res}{space 2} .0269987{col 40}{space 2} .0308119{col 51}{space 1}    0.88{col 60}{space 3}0.381{col 68}{space 4}-.0334656{col 81}{space 3} .0874629
{txt}{space 20}mobile {c |}{col 28}{res}{space 2}-.0257607{col 40}{space 2} .0312485{col 51}{space 1}   -0.82{col 60}{space 3}0.410{col 68}{space 4}-.0870817{col 81}{space 3} .0355603
{txt}{space 23}age {c |}{col 28}{res}{space 2} .0019036{col 40}{space 2} .0009006{col 51}{space 1}    2.11{col 60}{space 3}0.035{col 68}{space 4} .0001363{col 81}{space 3} .0036709
{txt}{space 21}white {c |}{col 28}{res}{space 2} .0357996{col 40}{space 2} .0333772{col 51}{space 1}    1.07{col 60}{space 3}0.284{col 68}{space 4}-.0296986{col 81}{space 3} .1012979
{txt}{space 18}hispanic {c |}{col 28}{res}{space 2} .0156906{col 40}{space 2} .0409085{col 51}{space 1}    0.38{col 60}{space 3}0.701{col 68}{space 4}-.0645868{col 81}{space 3} .0959681
{txt}{space 19}college {c |}{col 28}{res}{space 2} .0349464{col 40}{space 2} .0304289{col 51}{space 1}    1.15{col 60}{space 3}0.251{col 68}{space 4}-.0247662{col 81}{space 3}  .094659
{txt}{space 26} {c |}
{space 19}pid3alt {c |}
{space 14}Independent  {c |}{col 28}{res}{space 2} -.024197{col 40}{space 2} .0445691{col 51}{space 1}   -0.54{col 60}{space 3}0.587{col 68}{space 4}-.1116579{col 81}{space 3}  .063264
{txt}{space 15}Republican  {c |}{col 28}{res}{space 2} .2736407{col 40}{space 2}  .031972{col 51}{space 1}    8.56{col 60}{space 3}0.000{col 68}{space 4} .2109001{col 81}{space 3} .3363814
{txt}{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2} .1182584{col 40}{space 2} .0661884{col 51}{space 1}    1.79{col 60}{space 3}0.074{col 68}{space 4}-.0116274{col 81}{space 3} .2481441
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                         
.         est sto exp1_florida
{txt}
{com}. 
. coefplot                                                                                                                                                ///
>         exp1_florida                                                                                                                            ///
>         , keep(*prc1_treat* *.florida* *.florida*)      xline(0)                                                ///
>         title("{c -(}it:Florida Residence{c )-}")                                                                                         ///
>                 coeflabels(, interaction(" x ") labsize(vsmall))                                                ///
>         name(g_exp1_florida, replace)           
{res}{txt}
{com}.                 
. 
. 
. *** Gender *********************************************************************
. 
.         reg prc1_DV_main_dichot ///
>                         i.prc1_treat_level##female ///
>                         i.prc1_treat_hostile##female ///
>                         i.prc1_treat_china##female                      ///
>                         i.prc1_mancheck mobile age  white hispanic college i.pid3alt            ///
>                         , robust

{txt}Linear regression                               Number of obs     = {res}     1,004
                                                {txt}F(15, 988)        =  {res}     7.80
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1029
                                                {txt}Root MSE          =    {res} .45847

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}       prc1_DV_main_dichot{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      t{col 60}   P>|t|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}prc1_treat_level {c |}
{space 18}Federal  {c |}{col 28}{res}{space 2} .0053811{col 40}{space 2} .0404636{col 51}{space 1}    0.13{col 60}{space 3}0.894{col 68}{space 4}-.0740233{col 81}{space 3} .0847855
{txt}{space 26} {c |}
{space 20}female {c |}
{space 19}Female  {c |}{col 28}{res}{space 2} .0049498{col 40}{space 2} .0585727{col 51}{space 1}    0.08{col 60}{space 3}0.933{col 68}{space 4}-.1099914{col 81}{space 3}  .119891
{txt}{space 26} {c |}
{space 3}prc1_treat_level#female {c |}
{space 11}Federal#Female  {c |}{col 28}{res}{space 2} .0236139{col 40}{space 2} .0583163{col 51}{space 1}    0.40{col 60}{space 3}0.686{col 68}{space 4}-.0908241{col 81}{space 3} .1380518
{txt}{space 26} {c |}
{space 8}prc1_treat_hostile {c |}
{space 18}Hostile  {c |}{col 28}{res}{space 2} .0213104{col 40}{space 2}   .05248{col 51}{space 1}    0.41{col 60}{space 3}0.685{col 68}{space 4}-.0816746{col 81}{space 3} .1242954
{txt}{space 26} {c |}
{space 1}prc1_treat_hostile#female {c |}
{space 11}Hostile#Female  {c |}{col 28}{res}{space 2}-.0616329{col 40}{space 2} .0728302{col 51}{space 1}   -0.85{col 60}{space 3}0.398{col 68}{space 4}-.2045526{col 81}{space 3} .0812868
{txt}{space 26} {c |}
{space 10}prc1_treat_china {c |}
{space 10}China expresses  {c |}{col 28}{res}{space 2}-.0113458{col 40}{space 2} .0485117{col 51}{space 1}   -0.23{col 60}{space 3}0.815{col 68}{space 4}-.1065437{col 81}{space 3} .0838521
{txt}{space 26} {c |}
{space 3}prc1_treat_china#female {c |}
{space 3}China expresses#Female  {c |}{col 28}{res}{space 2}-.0200549{col 40}{space 2} .0694872{col 51}{space 1}   -0.29{col 60}{space 3}0.773{col 68}{space 4}-.1564143{col 81}{space 3} .1163046
{txt}{space 26} {c |}
{space 13}prc1_mancheck {c |}
Passed manipulation check  {c |}{col 28}{res}{space 2} .0234429{col 40}{space 2} .0310338{col 51}{space 1}    0.76{col 60}{space 3}0.450{col 68}{space 4}-.0374569{col 81}{space 3} .0843426
{txt}{space 20}mobile {c |}{col 28}{res}{space 2}-.0231294{col 40}{space 2} .0311782{col 51}{space 1}   -0.74{col 60}{space 3}0.458{col 68}{space 4}-.0843126{col 81}{space 3} .0380537
{txt}{space 23}age {c |}{col 28}{res}{space 2} .0017862{col 40}{space 2} .0009043{col 51}{space 1}    1.98{col 60}{space 3}0.049{col 68}{space 4} .0000116{col 81}{space 3} .0035608
{txt}{space 21}white {c |}{col 28}{res}{space 2} .0364875{col 40}{space 2} .0336496{col 51}{space 1}    1.08{col 60}{space 3}0.278{col 68}{space 4}-.0295454{col 81}{space 3} .1025204
{txt}{space 18}hispanic {c |}{col 28}{res}{space 2} .0099198{col 40}{space 2} .0406734{col 51}{space 1}    0.24{col 60}{space 3}0.807{col 68}{space 4}-.0698964{col 81}{space 3} .0897361
{txt}{space 19}college {c |}{col 28}{res}{space 2} .0309922{col 40}{space 2} .0305862{col 51}{space 1}    1.01{col 60}{space 3}0.311{col 68}{space 4}-.0290291{col 81}{space 3} .0910136
{txt}{space 26} {c |}
{space 19}pid3alt {c |}
{space 14}Independent  {c |}{col 28}{res}{space 2} -.023842{col 40}{space 2} .0446015{col 51}{space 1}   -0.53{col 60}{space 3}0.593{col 68}{space 4}-.1113665{col 81}{space 3} .0636825
{txt}{space 15}Republican  {c |}{col 28}{res}{space 2}  .271103{col 40}{space 2} .0321101{col 51}{space 1}    8.44{col 60}{space 3}0.000{col 68}{space 4} .2080912{col 81}{space 3} .3341149
{txt}{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2}  .120226{col 40}{space 2} .0732811{col 51}{space 1}    1.64{col 60}{space 3}0.101{col 68}{space 4}-.0235784{col 81}{space 3} .2640303
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                         
.         est sto exp1_female
{txt}
{com}. 
. 
. coefplot                                                                                                                                                ///
>         exp1_female                                                                                                                                     ///
>         , xline(0)      keep(*prc1_treat* *.florida*)                                                                   ///
>         name(g_female, replace)                                                                                                         ///
>                 coeflabels(, interaction(" x ") labsize(vsmall))                                                ///
>         title("{c -(}it:Gender{c )-}")            
{res}{txt}
{com}. 
. 
. *** Degree *********************************************************************
. 
. reg prc1_DV_main_dichot ///
>                         i.prc1_treat_level##college             ///
>                         i.prc1_treat_hostile##college   ///
>                         i.prc1_treat_china##college                             ///
>                         i.prc1_mancheck mobile age female white hispanic  i.pid3alt                     ///
>                         , robust

{txt}Linear regression                               Number of obs     = {res}     1,004
                                                {txt}F(15, 988)        =  {res}     7.74
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1037
                                                {txt}Root MSE          =    {res} .45824

{txt}{hline 36}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 37}{c |}{col 49}    Robust
{col 1}                prc1_DV_main_dichot{col 37}{c |} Coefficient{col 49}  std. err.{col 61}      t{col 69}   P>|t|{col 77}     [95% con{col 90}f. interval]
{hline 36}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}prc1_treat_level {c |}
{space 27}Federal  {c |}{col 37}{res}{space 2} .0058485{col 49}{space 2}  .036854{col 60}{space 1}    0.16{col 69}{space 3}0.874{col 77}{space 4}-.0664726{col 90}{space 3} .0781695
{txt}{space 35} {c |}
{space 28}college {c |}
{space 16}Has College Degree  {c |}{col 37}{res}{space 2}-.0073825{col 49}{space 2} .0620461{col 60}{space 1}   -0.12{col 69}{space 3}0.905{col 77}{space 4}-.1291398{col 90}{space 3} .1143747
{txt}{space 35} {c |}
{space 11}prc1_treat_level#college {c |}
{space 8}Federal#Has College Degree  {c |}{col 37}{res}{space 2} .0312737{col 49}{space 2} .0608922{col 60}{space 1}    0.51{col 69}{space 3}0.608{col 77}{space 4}-.0882193{col 90}{space 3} .1507667
{txt}{space 35} {c |}
{space 17}prc1_treat_hostile {c |}
{space 27}Hostile  {c |}{col 37}{res}{space 2}-.0394849{col 49}{space 2}  .046612{col 60}{space 1}   -0.85{col 69}{space 3}0.397{col 77}{space 4}-.1309547{col 90}{space 3}  .051985
{txt}{space 35} {c |}
{space 9}prc1_treat_hostile#college {c |}
{space 8}Hostile#Has College Degree  {c |}{col 37}{res}{space 2} .0825856{col 49}{space 2} .0753073{col 60}{space 1}    1.10{col 69}{space 3}0.273{col 77}{space 4} -.065195{col 90}{space 3} .2303663
{txt}{space 35} {c |}
{space 19}prc1_treat_china {c |}
{space 19}China expresses  {c |}{col 37}{res}{space 2} .0197728{col 49}{space 2} .0439342{col 60}{space 1}    0.45{col 69}{space 3}0.653{col 77}{space 4}-.0664423{col 90}{space 3}  .105988
{txt}{space 35} {c |}
{space 11}prc1_treat_china#college {c |}
China expresses#Has College Degree  {c |}{col 37}{res}{space 2}-.1078732{col 49}{space 2}  .071794{col 60}{space 1}   -1.50{col 69}{space 3}0.133{col 77}{space 4}-.2487595{col 90}{space 3} .0330131
{txt}{space 35} {c |}
{space 22}prc1_mancheck {c |}
{space 9}Passed manipulation check  {c |}{col 37}{res}{space 2}  .026311{col 49}{space 2} .0309568{col 60}{space 1}    0.85{col 69}{space 3}0.396{col 77}{space 4}-.0344376{col 90}{space 3} .0870595
{txt}{space 29}mobile {c |}{col 37}{res}{space 2}-.0269939{col 49}{space 2} .0311962{col 60}{space 1}   -0.87{col 69}{space 3}0.387{col 77}{space 4}-.0882123{col 90}{space 3} .0342245
{txt}{space 32}age {c |}{col 37}{res}{space 2} .0018103{col 49}{space 2} .0009032{col 60}{space 1}    2.00{col 69}{space 3}0.045{col 77}{space 4} .0000378{col 90}{space 3} .0035827
{txt}{space 29}female {c |}{col 37}{res}{space 2}-.0316521{col 49}{space 2} .0293573{col 60}{space 1}   -1.08{col 69}{space 3}0.281{col 77}{space 4} -.089262{col 90}{space 3} .0259578
{txt}{space 30}white {c |}{col 37}{res}{space 2} .0338294{col 49}{space 2} .0336279{col 60}{space 1}    1.01{col 69}{space 3}0.315{col 77}{space 4}-.0321609{col 90}{space 3} .0998197
{txt}{space 27}hispanic {c |}{col 37}{res}{space 2} .0094493{col 49}{space 2}  .040856{col 60}{space 1}    0.23{col 69}{space 3}0.817{col 77}{space 4}-.0707252{col 90}{space 3} .0896239
{txt}{space 35} {c |}
{space 28}pid3alt {c |}
{space 23}Independent  {c |}{col 37}{res}{space 2}-.0189546{col 49}{space 2} .0444553{col 60}{space 1}   -0.43{col 69}{space 3}0.670{col 77}{space 4}-.1061921{col 90}{space 3}  .068283
{txt}{space 24}Republican  {c |}{col 37}{res}{space 2} .2733375{col 49}{space 2}  .032119{col 60}{space 1}    8.51{col 69}{space 3}0.000{col 77}{space 4} .2103083{col 90}{space 3} .3363667
{txt}{space 35} {c |}
{space 30}_cons {c |}{col 37}{res}{space 2} .1517644{col 49}{space 2} .0688092{col 60}{space 1}    2.21{col 69}{space 3}0.028{col 77}{space 4} .0167354{col 90}{space 3} .2867934
{txt}{hline 36}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         est sto exp1_college
{txt}
{com}. 
. coefplot                                                                                                                                                ///
>         exp1_college                                                                                                                            ///
>         , keep(*prc1_treat* *.college* *.college*)      xline(0)                                                ///
>         name(g_college, replace)                                                                                                        ///
>                 coeflabels(, interaction(" x ") labsize(vsmall))                                                ///
>         title("{c -(}it:Education{c )-}")         
{res}{txt}
{com}. 
. 
. *** Man Check ******************************************************************
. 
. reg prc1_DV_main_dichot ///
>                         i.prc1_treat_level##prc1_mancheck               ///
>                         i.prc1_treat_hostile##prc1_mancheck             ///
>                         i.prc1_treat_china##prc1_mancheck                       ///
>                         i.prc1_mancheck mobile age female white hispanic college b2.pid3alt             ///
>                         , robust

{txt}Linear regression                               Number of obs     = {res}     1,004
                                                {txt}F(15, 988)        =  {res}     8.77
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1100
                                                {txt}Root MSE          =    {res} .45664

{txt}{hline 43}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 44}{c |}{col 56}    Robust
{col 1}                       prc1_DV_main_dichot{col 44}{c |} Coefficient{col 56}  std. err.{col 68}      t{col 76}   P>|t|{col 84}     [95% con{col 97}f. interval]
{hline 43}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 26}prc1_treat_level {c |}
{space 34}Federal  {c |}{col 44}{res}{space 2}-.0621377{col 56}{space 2} .0456692{col 67}{space 1}   -1.36{col 76}{space 3}0.174{col 84}{space 4}-.1517574{col 97}{space 3}  .027482
{txt}{space 42} {c |}
{space 29}prc1_mancheck {c |}
{space 16}Passed manipulation check  {c |}{col 44}{res}{space 2}-.1138986{col 56}{space 2} .0649279{col 67}{space 1}   -1.75{col 76}{space 3}0.080{col 84}{space 4} -.241311{col 97}{space 3} .0135138
{txt}{space 42} {c |}
{space 12}prc1_treat_level#prc1_mancheck {c |}
{space 8}Federal#Passed manipulation check  {c |}{col 44}{res}{space 2} .1325202{col 56}{space 2} .0592792{col 67}{space 1}    2.24{col 76}{space 3}0.026{col 84}{space 4} .0161925{col 97}{space 3} .2488478
{txt}{space 42} {c |}
{space 24}prc1_treat_hostile {c |}
{space 34}Hostile  {c |}{col 44}{res}{space 2} -.056618{col 56}{space 2} .0620173{col 67}{space 1}   -0.91{col 76}{space 3}0.361{col 84}{space 4}-.1783186{col 97}{space 3} .0650827
{txt}{space 42} {c |}
{space 10}prc1_treat_hostile#prc1_mancheck {c |}
{space 8}Hostile#Passed manipulation check  {c |}{col 44}{res}{space 2} .0685935{col 56}{space 2} .0794921{col 67}{space 1}    0.86{col 76}{space 3}0.388{col 84}{space 4}-.0873992{col 97}{space 3} .2245861
{txt}{space 42} {c |}
{space 26}prc1_treat_china {c |}
{space 26}China expresses  {c |}{col 44}{res}{space 2}-.0716616{col 56}{space 2} .0501576{col 67}{space 1}   -1.43{col 76}{space 3}0.153{col 84}{space 4}-.1700893{col 97}{space 3} .0267661
{txt}{space 42} {c |}
{space 12}prc1_treat_china#prc1_mancheck {c |}
China expresses#Passed manipulation check  {c |}{col 44}{res}{space 2} .0779519{col 56}{space 2} .0706803{col 67}{space 1}    1.10{col 76}{space 3}0.270{col 84}{space 4}-.0607489{col 97}{space 3} .2166527
{txt}{space 42} {c |}
{space 36}mobile {c |}{col 44}{res}{space 2}-.0244161{col 56}{space 2} .0310396{col 67}{space 1}   -0.79{col 76}{space 3}0.432{col 84}{space 4}-.0853271{col 97}{space 3}  .036495
{txt}{space 39}age {c |}{col 44}{res}{space 2} .0019467{col 56}{space 2} .0009049{col 67}{space 1}    2.15{col 76}{space 3}0.032{col 84}{space 4} .0001709{col 97}{space 3} .0037224
{txt}{space 36}female {c |}{col 44}{res}{space 2}-.0362438{col 56}{space 2} .0293391{col 67}{space 1}   -1.24{col 76}{space 3}0.217{col 84}{space 4}-.0938179{col 97}{space 3} .0213303
{txt}{space 37}white {c |}{col 44}{res}{space 2} .0405124{col 56}{space 2}    .0335{col 67}{space 1}    1.21{col 76}{space 3}0.227{col 84}{space 4} -.025227{col 97}{space 3} .1062518
{txt}{space 34}hispanic {c |}{col 44}{res}{space 2} .0034314{col 56}{space 2} .0404424{col 67}{space 1}    0.08{col 76}{space 3}0.932{col 84}{space 4}-.0759314{col 97}{space 3} .0827941
{txt}{space 35}college {c |}{col 44}{res}{space 2} .0313276{col 56}{space 2} .0304321{col 67}{space 1}    1.03{col 76}{space 3}0.304{col 84}{space 4}-.0283913{col 97}{space 3} .0910465
{txt}{space 42} {c |}
{space 35}pid3alt {c |}
{space 33}Democrat  {c |}{col 44}{res}{space 2}-.2663317{col 56}{space 2}  .032147{col 67}{space 1}   -8.28{col 76}{space 3}0.000{col 84}{space 4}-.3294159{col 97}{space 3}-.2032475
{txt}{space 30}Independent  {c |}{col 44}{res}{space 2}-.2861136{col 56}{space 2} .0464853{col 67}{space 1}   -6.15{col 76}{space 3}0.000{col 84}{space 4}-.3773347{col 97}{space 3}-.1948924
{txt}{space 42} {c |}
{space 37}_cons {c |}{col 44}{res}{space 2}  .489023{col 56}{space 2} .0784328{col 67}{space 1}    6.23{col 76}{space 3}0.000{col 84}{space 4} .3351091{col 97}{space 3}  .642937
{txt}{hline 43}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                         
.         est sto exp1_mancheck
{txt}
{com}. 
. coefplot                                                                                                                                                        ///
>         exp1_mancheck                                                                                                                   ///
>         , keep(*.prc1* )        xline(0)                                                                                        ///
>         name(g_mancheck, replace)                                                                                               ///
>                 coeflabels(, interaction(" x ") labsize(vsmall))                                        ///
>         title("{c -(}it:Manipulation Check{c )-}")        
{res}{txt}
{com}. 
.         
. est restore exp1_mancheck
{txt}(results {stata estimates replay exp1_mancheck:exp1_mancheck} are active now)

{com}. margins prc1_treat_level, at(prc1_mancheck = (0 1))
{res}
{txt}{col 1}Predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:1,004}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 13:prc1_mancheck} = {res:{ralign 1:0}}
{lalign 7:2._at: }{space 0}{lalign 13:prc1_mancheck} = {res:{ralign 1:1}}

{res}{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34} Delta-method
{col 22}{c |}     Margin{col 34}   std. err.{col 46}      t{col 54}   P>|t|{col 62}     [95% con{col 75}f. interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
_at#prc1_treat_level {c |}
{space 12}1#State  {c |}{col 22}{res}{space 2}  .377444{col 34}{space 2} .0328653{col 45}{space 1}   11.48{col 54}{space 3}0.000{col 62}{space 4} .3129501{col 75}{space 3} .4419378
{txt}{space 10}1#Federal  {c |}{col 22}{res}{space 2} .3153063{col 34}{space 2} .0335208{col 45}{space 1}    9.41{col 54}{space 3}0.000{col 62}{space 4} .2495262{col 75}{space 3} .3810864
{txt}{space 12}2#State  {c |}{col 22}{res}{space 2} .3352024{col 34}{space 2} .0263519{col 45}{space 1}   12.72{col 54}{space 3}0.000{col 62}{space 4} .2834903{col 75}{space 3} .3869145
{txt}{space 10}2#Federal  {c |}{col 22}{res}{space 2} .4055849{col 34}{space 2} .0277218{col 45}{space 1}   14.63{col 54}{space 3}0.000{col 62}{space 4} .3511845{col 75}{space 3} .4599854
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset

{text}{p 2 6 2}Variables that uniquely identify margins: prc1_mancheck prc1_treat_level{p_end}
{res}{txt}
{com}. 
. *** Mobile *******************************************************************
. 
. reg prc1_DV_main_dichot ///
>                 i.prc1_treat_level##mobile ///
>                 i.prc1_treat_hostile##mobile ///
>                 i.prc1_treat_china##mobile ///
>                 i.prc1_mancheck mobile age female white hispanic college i.pid3alt ///
>                 , robust
{txt}{p 0 6 2}note: {bf:mobile} omitted because of collinearity.{p_end}

Linear regression                               Number of obs     = {res}     1,004
                                                {txt}F(15, 988)        =  {res}     7.57
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1017
                                                {txt}Root MSE          =    {res} .45876

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}       prc1_DV_main_dichot{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      t{col 60}   P>|t|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}prc1_treat_level {c |}
{space 18}Federal  {c |}{col 28}{res}{space 2}  .001528{col 40}{space 2} .0502691{col 51}{space 1}    0.03{col 60}{space 3}0.976{col 68}{space 4}-.0971185{col 81}{space 3} .1001745
{txt}{space 26} {c |}
{space 20}mobile {c |}
{space 19}Mobile  {c |}{col 28}{res}{space 2}-.0321664{col 40}{space 2} .0642743{col 51}{space 1}   -0.50{col 60}{space 3}0.617{col 68}{space 4}-.1582961{col 81}{space 3} .0939634
{txt}{space 26} {c |}
{space 3}prc1_treat_level#mobile {c |}
{space 11}Federal#Mobile  {c |}{col 28}{res}{space 2} .0203149{col 40}{space 2} .0616717{col 51}{space 1}    0.33{col 60}{space 3}0.742{col 68}{space 4}-.1007076{col 81}{space 3} .1413374
{txt}{space 26} {c |}
{space 8}prc1_treat_hostile {c |}
{space 18}Hostile  {c |}{col 28}{res}{space 2}-.0180267{col 40}{space 2} .0665617{col 51}{space 1}   -0.27{col 60}{space 3}0.787{col 68}{space 4}-.1486453{col 81}{space 3} .1125918
{txt}{space 26} {c |}
{space 1}prc1_treat_hostile#mobile {c |}
{space 11}Hostile#Mobile  {c |}{col 28}{res}{space 2} .0123461{col 40}{space 2} .0786602{col 51}{space 1}    0.16{col 60}{space 3}0.875{col 68}{space 4}-.1420142{col 81}{space 3} .1667065
{txt}{space 26} {c |}
{space 10}prc1_treat_china {c |}
{space 10}China expresses  {c |}{col 28}{res}{space 2} .0010941{col 40}{space 2} .0595594{col 51}{space 1}    0.02{col 60}{space 3}0.985{col 68}{space 4}-.1157834{col 81}{space 3} .1179716
{txt}{space 26} {c |}
{space 3}prc1_treat_china#mobile {c |}
{space 3}China expresses#Mobile  {c |}{col 28}{res}{space 2}-.0315962{col 40}{space 2} .0729109{col 51}{space 1}   -0.43{col 60}{space 3}0.665{col 68}{space 4}-.1746742{col 81}{space 3} .1114817
{txt}{space 26} {c |}
{space 13}prc1_mancheck {c |}
Passed manipulation check  {c |}{col 28}{res}{space 2}  .023657{col 40}{space 2} .0309562{col 51}{space 1}    0.76{col 60}{space 3}0.445{col 68}{space 4}-.0370905{col 81}{space 3} .0844044
{txt}{space 20}mobile {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}age {c |}{col 28}{res}{space 2} .0017656{col 40}{space 2} .0009051{col 51}{space 1}    1.95{col 60}{space 3}0.051{col 68}{space 4}-.0000106{col 81}{space 3} .0035418
{txt}{space 20}female {c |}{col 28}{res}{space 2}-.0312051{col 40}{space 2} .0293958{col 51}{space 1}   -1.06{col 60}{space 3}0.289{col 68}{space 4}-.0888904{col 81}{space 3} .0264802
{txt}{space 21}white {c |}{col 28}{res}{space 2} .0372884{col 40}{space 2}   .03364{col 51}{space 1}    1.11{col 60}{space 3}0.268{col 68}{space 4}-.0287257{col 81}{space 3} .1033025
{txt}{space 18}hispanic {c |}{col 28}{res}{space 2} .0089978{col 40}{space 2} .0408247{col 51}{space 1}    0.22{col 60}{space 3}0.826{col 68}{space 4}-.0711153{col 81}{space 3}  .089111
{txt}{space 19}college {c |}{col 28}{res}{space 2} .0280808{col 40}{space 2} .0305189{col 51}{space 1}    0.92{col 60}{space 3}0.358{col 68}{space 4}-.0318085{col 81}{space 3} .0879701
{txt}{space 26} {c |}
{space 19}pid3alt {c |}
{space 14}Independent  {c |}{col 28}{res}{space 2}-.0214444{col 40}{space 2} .0444281{col 51}{space 1}   -0.48{col 60}{space 3}0.629{col 68}{space 4}-.1086287{col 81}{space 3}   .06574
{txt}{space 15}Republican  {c |}{col 28}{res}{space 2} .2707469{col 40}{space 2} .0321447{col 51}{space 1}    8.42{col 60}{space 3}0.000{col 68}{space 4} .2076671{col 81}{space 3} .3338267
{txt}{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2}  .147193{col 40}{space 2} .0807548{col 51}{space 1}    1.82{col 60}{space 3}0.069{col 68}{space 4}-.0112777{col 81}{space 3} .3056637
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est sto exp1_mobile
{txt}
{com}. 
. coefplot                                                                                                                                                ///
>         exp1_mobile                                                                                                                             ///
>         , keep(*prc1_treat* *.mobile* *.mobile*) xline(0)                                                       ///
>         title("{c -(}it:Mobile Device{c )-}")                                                                                             ///
>                 coeflabels(, interaction(" x ") labsize(vsmall))                                        ///
>         name(g_exp1_mobile, replace)
{res}{txt}
{com}. 
.         
. *** Race ***********************************************************************
. 
. gen honky = (white == 1 & hispanic == 0)
{txt}
{com}. lab var honky "White Non-Hispanic"
{txt}
{com}. lab def honkylab 0 "Not White Only" 1 "White Only"
{txt}
{com}. lab val honky honkylab
{txt}
{com}. 
. reg prc1_DV_main_dichot ///
>                 i.prc1_treat_level##honky ///
>                 i.prc1_treat_hostile##honky ///
>                 i.prc1_treat_china##honky ///
>                 i.prc1_mancheck mobile age female college i.pid3alt ///
>                 , robust

{txt}Linear regression                               Number of obs     = {res}     1,017
                                                {txt}F(14, 1002)       =  {res}     8.18
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1005
                                                {txt}Root MSE          =    {res} .45916

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}        prc1_DV_main_dichot{col 29}{c |} Coefficient{col 41}  std. err.{col 53}      t{col 61}   P>|t|{col 69}     [95% con{col 82}f. interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}prc1_treat_level {c |}
{space 19}Federal  {c |}{col 29}{res}{space 2} .0071481{col 41}{space 2} .0455738{col 52}{space 1}    0.16{col 61}{space 3}0.875{col 69}{space 4}-.0822829{col 82}{space 3} .0965791
{txt}{space 27} {c |}
{space 22}honky {c |}
{space 16}White Only  {c |}{col 29}{res}{space 2}-.0467074{col 41}{space 2} .0598217{col 52}{space 1}   -0.78{col 61}{space 3}0.435{col 69}{space 4}-.1640975{col 82}{space 3} .0706828
{txt}{space 27} {c |}
{space 5}prc1_treat_level#honky {c |}
{space 8}Federal#White Only  {c |}{col 29}{res}{space 2}  .012741{col 41}{space 2} .0589016{col 52}{space 1}    0.22{col 61}{space 3}0.829{col 69}{space 4}-.1028436{col 82}{space 3} .1283256
{txt}{space 27} {c |}
{space 9}prc1_treat_hostile {c |}
{space 19}Hostile  {c |}{col 29}{res}{space 2}-.0285847{col 41}{space 2} .0592638{col 52}{space 1}   -0.48{col 61}{space 3}0.630{col 69}{space 4}-.1448801{col 82}{space 3} .0877107
{txt}{space 27} {c |}
{space 3}prc1_treat_hostile#honky {c |}
{space 8}Hostile#White Only  {c |}{col 29}{res}{space 2} .0299558{col 41}{space 2} .0745961{col 52}{space 1}    0.40{col 61}{space 3}0.688{col 69}{space 4}-.1164267{col 82}{space 3} .1763383
{txt}{space 27} {c |}
{space 11}prc1_treat_china {c |}
{space 11}China expresses  {c |}{col 29}{res}{space 2}-.0804186{col 41}{space 2} .0536729{col 52}{space 1}   -1.50{col 61}{space 3}0.134{col 69}{space 4}-.1857428{col 82}{space 3} .0249056
{txt}{space 27} {c |}
{space 5}prc1_treat_china#honky {c |}
China expresses#White Only  {c |}{col 29}{res}{space 2} .0983418{col 41}{space 2} .0701491{col 52}{space 1}    1.40{col 61}{space 3}0.161{col 69}{space 4}-.0393141{col 82}{space 3} .2359976
{txt}{space 27} {c |}
{space 14}prc1_mancheck {c |}
{space 1}Passed manipulation check  {c |}{col 29}{res}{space 2}  .027249{col 41}{space 2}  .030592{col 52}{space 1}    0.89{col 61}{space 3}0.373{col 69}{space 4}-.0327827{col 82}{space 3} .0872807
{txt}{space 21}mobile {c |}{col 29}{res}{space 2}-.0293333{col 41}{space 2}  .031277{col 52}{space 1}   -0.94{col 61}{space 3}0.349{col 69}{space 4}-.0907092{col 82}{space 3} .0320426
{txt}{space 24}age {c |}{col 29}{res}{space 2}  .001894{col 41}{space 2} .0008974{col 52}{space 1}    2.11{col 61}{space 3}0.035{col 69}{space 4}  .000133{col 82}{space 3}  .003655
{txt}{space 21}female {c |}{col 29}{res}{space 2}-.0253289{col 41}{space 2} .0292349{col 52}{space 1}   -0.87{col 61}{space 3}0.386{col 69}{space 4}-.0826976{col 82}{space 3} .0320397
{txt}{space 20}college {c |}{col 29}{res}{space 2} .0337057{col 41}{space 2} .0303185{col 52}{space 1}    1.11{col 61}{space 3}0.267{col 69}{space 4}-.0257893{col 82}{space 3} .0932007
{txt}{space 27} {c |}
{space 20}pid3alt {c |}
{space 15}Independent  {c |}{col 29}{res}{space 2} -.004647{col 41}{space 2} .0450129{col 52}{space 1}   -0.10{col 61}{space 3}0.918{col 69}{space 4}-.0929774{col 82}{space 3} .0836834
{txt}{space 16}Republican  {c |}{col 29}{res}{space 2}  .271169{col 41}{space 2} .0318266{col 52}{space 1}    8.52{col 61}{space 3}0.000{col 69}{space 4} .2087146{col 82}{space 3} .3336235
{txt}{space 27} {c |}
{space 22}_cons {c |}{col 29}{res}{space 2} .1909054{col 41}{space 2} .0726137{col 52}{space 1}    2.63{col 61}{space 3}0.009{col 69}{space 4}  .048413{col 82}{space 3} .3333978
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est sto exp1_honky
{txt}
{com}. 
. coefplot                                                                                                                                                ///
>         exp1_honky                                                                                                                                      ///
>         , keep(*prc1_treat* *.honky* *.honky*) xline(0)                                                         ///
>         title("{c -(}it:Race{c )-}")                                                                                                                      ///
>                 coeflabels(, interaction(" x ") labsize(vsmall))                                        ///
>         name(g_exp1_honky, replace)     
{res}{txt}
{com}. 
. 
. *** PID ***********************************************************************
. 
. reg prc1_DV_main_dichot ///
>                 i.prc1_treat_level##i.pid3alt ///
>                 i.prc1_treat_hostile##i.pid3alt ///
>                 i.prc1_treat_china##i.pid3alt ///
>                 i.prc1_mancheck mobile age female white hispanic college ///
>                 if pid3alt == 0 | pid3alt == 2 ///
>                 , robust

{txt}Linear regression                               Number of obs     = {res}       895
                                                {txt}F(14, 880)        =  {res}     7.74
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1036
                                                {txt}Root MSE          =    {res} .46342

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}        prc1_DV_main_dichot{col 29}{c |} Coefficient{col 41}  std. err.{col 53}      t{col 61}   P>|t|{col 69}     [95% con{col 82}f. interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}prc1_treat_level {c |}
{space 19}Federal  {c |}{col 29}{res}{space 2} .0545047{col 41}{space 2} .0414457{col 52}{space 1}    1.32{col 61}{space 3}0.189{col 69}{space 4}-.0268393{col 82}{space 3} .1358487
{txt}{space 27} {c |}
{space 20}pid3alt {c |}
{space 16}Republican  {c |}{col 29}{res}{space 2} .1920038{col 41}{space 2}  .062296{col 52}{space 1}    3.08{col 61}{space 3}0.002{col 69}{space 4} .0697378{col 82}{space 3} .3142699
{txt}{space 27} {c |}
{space 3}prc1_treat_level#pid3alt {c |}
{space 8}Federal#Republican  {c |}{col 29}{res}{space 2}-.0628071{col 41}{space 2}  .062074{col 52}{space 1}   -1.01{col 61}{space 3}0.312{col 69}{space 4}-.1846375{col 82}{space 3} .0590232
{txt}{space 27} {c |}
{space 9}prc1_treat_hostile {c |}
{space 19}Hostile  {c |}{col 29}{res}{space 2}-.0788516{col 41}{space 2} .0539142{col 52}{space 1}   -1.46{col 61}{space 3}0.144{col 69}{space 4}-.1846671{col 82}{space 3} .0269639
{txt}{space 27} {c |}
{space 1}prc1_treat_hostile#pid3alt {c |}
{space 8}Hostile#Republican  {c |}{col 29}{res}{space 2} .1339818{col 41}{space 2} .0769979{col 52}{space 1}    1.74{col 61}{space 3}0.082{col 69}{space 4}-.0171391{col 82}{space 3} .2851028
{txt}{space 27} {c |}
{space 11}prc1_treat_china {c |}
{space 11}China expresses  {c |}{col 29}{res}{space 2}-.0372974{col 41}{space 2} .0479975{col 52}{space 1}   -0.78{col 61}{space 3}0.437{col 69}{space 4}-.1315004{col 82}{space 3} .0569056
{txt}{space 27} {c |}
{space 3}prc1_treat_china#pid3alt {c |}
China expresses#Republican  {c |}{col 29}{res}{space 2} .0656058{col 41}{space 2} .0746533{col 52}{space 1}    0.88{col 61}{space 3}0.380{col 69}{space 4}-.0809136{col 82}{space 3} .2121251
{txt}{space 27} {c |}
{space 14}prc1_mancheck {c |}
{space 1}Passed manipulation check  {c |}{col 29}{res}{space 2} .0166771{col 41}{space 2} .0330715{col 52}{space 1}    0.50{col 61}{space 3}0.614{col 69}{space 4}-.0482312{col 82}{space 3} .0815854
{txt}{space 21}mobile {c |}{col 29}{res}{space 2}-.0311939{col 41}{space 2} .0336031{col 52}{space 1}   -0.93{col 61}{space 3}0.354{col 69}{space 4}-.0971454{col 82}{space 3} .0347577
{txt}{space 24}age {c |}{col 29}{res}{space 2}  .001744{col 41}{space 2} .0009601{col 52}{space 1}    1.82{col 61}{space 3}0.070{col 69}{space 4}-.0001403{col 82}{space 3} .0036283
{txt}{space 21}female {c |}{col 29}{res}{space 2} -.029164{col 41}{space 2} .0313996{col 52}{space 1}   -0.93{col 61}{space 3}0.353{col 69}{space 4}-.0907909{col 82}{space 3} .0324628
{txt}{space 22}white {c |}{col 29}{res}{space 2} .0307082{col 41}{space 2} .0368449{col 52}{space 1}    0.83{col 61}{space 3}0.405{col 69}{space 4} -.041606{col 82}{space 3} .1030223
{txt}{space 19}hispanic {c |}{col 29}{res}{space 2} .0063801{col 41}{space 2}  .042988{col 52}{space 1}    0.15{col 61}{space 3}0.882{col 69}{space 4}-.0779908{col 82}{space 3} .0907511
{txt}{space 20}college {c |}{col 29}{res}{space 2} .0379214{col 41}{space 2} .0326938{col 52}{space 1}    1.16{col 61}{space 3}0.246{col 69}{space 4}-.0262456{col 82}{space 3} .1020884
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} .1855877{col 41}{space 2} .0779281{col 52}{space 1}    2.38{col 61}{space 3}0.017{col 69}{space 4} .0326411{col 82}{space 3} .3385343
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est sto exp1_pid3
{txt}
{com}. 
. coefplot                                                                                                                                                ///
>         exp1_pid3                                                                                                                                       ///
>         , keep(*prc1_treat* *.pid3alt* *.pid3alt*) xline(0)                                             ///
>         title("{c -(}it:Party ID{c )-}")                                                                                                          ///
>                 coeflabels(, interaction(" x ") labsize(vsmall))                                        ///
>         name(g_exp1_pid3, replace)              
{res}{txt}
{com}. 
. 
. *** Threat *********************************************************************
. 
. reg prc1_DV_main_dichot ///
>                 i.prc1_treat_level##i.threat_prc_num ///
>                 i.prc1_treat_hostile##i.threat_prc_num ///
>                 i.prc1_treat_china##i.threat_prc_num ///
>                 i.prc1_mancheck mobile age female white hispanic college i.pid3alt ///
>                 , robust

{txt}Linear regression                               Number of obs     = {res}       997
                                                {txt}F(20, 976)        =  {res}     8.06
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1278
                                                {txt}Root MSE          =    {res} .45365

{txt}{hline 34}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 35}{c |}{col 47}    Robust
{col 1}              prc1_DV_main_dichot{col 35}{c |} Coefficient{col 47}  std. err.{col 59}      t{col 67}   P>|t|{col 75}     [95% con{col 88}f. interval]
{hline 34}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}prc1_treat_level {c |}
{space 25}Federal  {c |}{col 35}{res}{space 2}-.0731119{col 47}{space 2} .1103017{col 58}{space 1}   -0.66{col 67}{space 3}0.508{col 75}{space 4}-.2895677{col 88}{space 3} .1433439
{txt}{space 33} {c |}
{space 19}threat_prc_num {c |}
{space 18}A minor threat  {c |}{col 35}{res}{space 2}-.2618461{col 47}{space 2} .1091232{col 58}{space 1}   -2.40{col 67}{space 3}0.017{col 75}{space 4}-.4759891{col 88}{space 3}-.0477031
{txt}{space 18}A major threat  {c |}{col 35}{res}{space 2}-.0678828{col 47}{space 2} .1071515{col 58}{space 1}   -0.63{col 67}{space 3}0.527{col 75}{space 4}-.2781566{col 88}{space 3} .1423909
{txt}{space 33} {c |}
{space 2}prc1_treat_level#threat_prc_num {c |}
{space 10}Federal#A minor threat  {c |}{col 35}{res}{space 2} .0785162{col 47}{space 2} .1192047{col 58}{space 1}    0.66{col 67}{space 3}0.510{col 75}{space 4}-.1554107{col 88}{space 3} .3124432
{txt}{space 10}Federal#A major threat  {c |}{col 35}{res}{space 2} .0994328{col 47}{space 2} .1167011{col 58}{space 1}    0.85{col 67}{space 3}0.394{col 75}{space 4}-.1295811{col 88}{space 3} .3284467
{txt}{space 33} {c |}
{space 15}prc1_treat_hostile {c |}
{space 25}Hostile  {c |}{col 35}{res}{space 2}-.1785101{col 47}{space 2} .1291387{col 58}{space 1}   -1.38{col 67}{space 3}0.167{col 75}{space 4}-.4319315{col 88}{space 3} .0749114
{txt}{space 33} {c |}
prc1_treat_hostile#threat_prc_num {c |}
{space 10}Hostile#A minor threat  {c |}{col 35}{res}{space 2} .2471173{col 47}{space 2} .1403567{col 58}{space 1}    1.76{col 67}{space 3}0.079{col 75}{space 4}-.0283183{col 88}{space 3} .5225529
{txt}{space 10}Hostile#A major threat  {c |}{col 35}{res}{space 2} .1720168{col 47}{space 2} .1380069{col 58}{space 1}    1.25{col 67}{space 3}0.213{col 75}{space 4}-.0988075{col 88}{space 3} .4428411
{txt}{space 33} {c |}
{space 17}prc1_treat_china {c |}
{space 17}China expresses  {c |}{col 35}{res}{space 2} .0328875{col 47}{space 2} .1346666{col 58}{space 1}    0.24{col 67}{space 3}0.807{col 75}{space 4}-.2313818{col 88}{space 3} .2971568
{txt}{space 33} {c |}
{space 2}prc1_treat_china#threat_prc_num {c |}
{space 2}China expresses#A minor threat  {c |}{col 35}{res}{space 2}-.0918988{col 47}{space 2} .1446892{col 58}{space 1}   -0.64{col 67}{space 3}0.525{col 75}{space 4}-.3758365{col 88}{space 3} .1920388
{txt}{space 2}China expresses#A major threat  {c |}{col 35}{res}{space 2}-.0580424{col 47}{space 2} .1423879{col 58}{space 1}   -0.41{col 67}{space 3}0.684{col 75}{space 4} -.337464{col 88}{space 3} .2213793
{txt}{space 33} {c |}
{space 20}prc1_mancheck {c |}
{space 7}Passed manipulation check  {c |}{col 35}{res}{space 2}  .029813{col 47}{space 2} .0310374{col 58}{space 1}    0.96{col 67}{space 3}0.337{col 75}{space 4}-.0310947{col 88}{space 3} .0907207
{txt}{space 27}mobile {c |}{col 35}{res}{space 2}-.0266598{col 47}{space 2} .0313851{col 58}{space 1}   -0.85{col 67}{space 3}0.396{col 75}{space 4}-.0882499{col 88}{space 3} .0349302
{txt}{space 30}age {c |}{col 35}{res}{space 2}  .000712{col 47}{space 2} .0009609{col 58}{space 1}    0.74{col 67}{space 3}0.459{col 75}{space 4}-.0011738{col 88}{space 3} .0025977
{txt}{space 27}female {c |}{col 35}{res}{space 2}-.0299458{col 47}{space 2} .0292259{col 58}{space 1}   -1.02{col 67}{space 3}0.306{col 75}{space 4}-.0872987{col 88}{space 3}  .027407
{txt}{space 28}white {c |}{col 35}{res}{space 2} .0350329{col 47}{space 2} .0337178{col 58}{space 1}    1.04{col 67}{space 3}0.299{col 75}{space 4}-.0311348{col 88}{space 3} .1012007
{txt}{space 25}hispanic {c |}{col 35}{res}{space 2} .0010245{col 47}{space 2} .0399043{col 58}{space 1}    0.03{col 67}{space 3}0.980{col 75}{space 4}-.0772837{col 88}{space 3} .0793326
{txt}{space 26}college {c |}{col 35}{res}{space 2} .0305304{col 47}{space 2}  .030126{col 58}{space 1}    1.01{col 67}{space 3}0.311{col 75}{space 4}-.0285888{col 88}{space 3} .0896495
{txt}{space 33} {c |}
{space 26}pid3alt {c |}
{space 21}Independent  {c |}{col 35}{res}{space 2}-.0181949{col 47}{space 2} .0439138{col 58}{space 1}   -0.41{col 67}{space 3}0.679{col 75}{space 4}-.1043712{col 88}{space 3} .0679814
{txt}{space 22}Republican  {c |}{col 35}{res}{space 2} .2514024{col 47}{space 2} .0325867{col 58}{space 1}    7.71{col 67}{space 3}0.000{col 75}{space 4} .1874543{col 88}{space 3} .3153505
{txt}{space 33} {c |}
{space 28}_cons {c |}{col 35}{res}{space 2} .3193812{col 47}{space 2} .1105399{col 58}{space 1}    2.89{col 67}{space 3}0.004{col 75}{space 4}  .102458{col 88}{space 3} .5363044
{txt}{hline 34}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est sto exp1_threat
{txt}
{com}. 
. coefplot                                                                                                                                                ///
>         exp1_threat                                                                                                                             ///
>         , keep(*prc1_treat* *.threat_prc_num* *.threat_prc_num*) xline(0)                       ///
>         title("{c -(}it:Threat{c )-}")                                                                                                            ///
>                 coeflabels(, interaction(" x ") labsize(vsmall))                                        ///
>         name(g_exp1_threat, replace)    
{res}{txt}
{com}. 
. 
. 
. * Combining them        
. gr combine g_exp1_florida g_female g_college g_mancheck                                                 ///
>         g_exp1_mobile g_exp1_honky g_exp1_pid3 g_exp1_threat                                            ///
>         , rows(4) xsize(8) ysize(12) imargins(tiny)
{res}{txt}
{com}. 
. gr export "${c -(}MyProject{c )-}/APPENDIX Figure A1.pdf", replace
{txt}{p 0 4 2}
file {bf}
~/Dropbox/0001 Academic Projects/Completed/0171 Parasecurity and Education/Replication/APPENDIX Figure A1.pdf{rm}
saved as
PDF
format
{p_end}

{com}.         
.         
. ********************************************************************************
. ********************************************************************************
. ********************************************************************************
. *                                                               Experiment 2                                                               *
. ********************************************************************************
. ********************************************************************************
. ********************************************************************************
. 
. 
. * Summary Plot
.                 
. gen prc2_DV_main_100 = prc2_DV_main_dichot * 100
{txt}(1,429 missing values generated)

{com}. 
. lab var  prc2_DV_main_100 "Exp. 2 Support"
{txt}
{com}. 
. clonevar prc2_treat_usa2 = prc2_treat_usa
{txt}(1,260 missing values generated)

{com}. 
. lab def prc2_treat_usa2lab 1 "No State Dept stance" 2 "State Dept says undermines"
{txt}
{com}. 
. lab val prc2_treat_usa2 prc2_treat_usa2lab
{txt}
{com}. 
. clonevar prc2_treat_prc2 = prc2_treat_prc
{txt}(1,260 missing values generated)

{com}. 
. lab def prc2_treat_prc2lab 1 "No PRC stance" 2 "Hostile PRC stance"
{txt}
{com}. 
. lab val prc2_treat_prc2 prc2_treat_prc2lab
{txt}
{com}. 
. graph hbar prc2_DV_main_100                                                                                                             ///
>                 , over(prc2_treat_prc2, label(labsize(vsmall)))                                                 ///
>                 bar(1, color(black)) bar(2, color(black))                                                               ///
>                 over(prc2_treat_usa2, label(angle(90) labsize(small)))                                  ///
>                 yline(32.18, lcolor(gs12))                                                                                              ///
>                 blabel(total, format(%9.2f) position(inside) color(white))                              ///
>                 ytitle("Percent Supporting Restriction", size(vsmall))                                  ///
>                 title("{c -(}bf: A:{c )-} {c -(}it:Average Support by Treatment Category{c )-}"                             ///
>                         , size(small) span justification(left))                                                         ///
>                 name(g_exp2_summary, replace) fxsize(40)
{res}{txt}
{com}.                 
. 
. ********************************************************************************
. *                                                       Experiment 2: Main DV                                                      *
. ********************************************************************************
. 
. 
. * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * 
. * OLS
. * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * 
. 
. ****** Demographics
. 
. reg prc2_DV_main_dichot i.prc2_treat_usa i.prc2_treat_prc i.prc2_mancheck               ///
>         `demographics' `technical', robust

{txt}Linear regression                               Number of obs     = {res}       975
                                                {txt}F(11, 963)        =  {res}    14.45
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1343
                                                {txt}Root MSE          =    {res} .43781

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}       prc2_DV_main_dichot{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      t{col 60}   P>|t|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}prc2_treat_usa {c |}
{space 16}Undermine  {c |}{col 28}{res}{space 2} .0299371{col 40}{space 2} .0282089{col 51}{space 1}    1.06{col 60}{space 3}0.289{col 68}{space 4}-.0254209{col 81}{space 3} .0852951
{txt}{space 26} {c |}
{space 12}prc2_treat_prc {c |}
{space 14}PRC Hostile  {c |}{col 28}{res}{space 2}-.0088284{col 40}{space 2} .0287705{col 51}{space 1}   -0.31{col 60}{space 3}0.759{col 68}{space 4}-.0652885{col 81}{space 3} .0476317
{txt}{space 26} {c |}
{space 13}prc2_mancheck {c |}
Passed manipulation check  {c |}{col 28}{res}{space 2}-.0441848{col 40}{space 2} .0288334{col 51}{space 1}   -1.53{col 60}{space 3}0.126{col 68}{space 4}-.1007684{col 81}{space 3} .0123987
{txt}{space 23}age {c |}{col 28}{res}{space 2} .0032772{col 40}{space 2} .0008286{col 51}{space 1}    3.96{col 60}{space 3}0.000{col 68}{space 4} .0016511{col 81}{space 3} .0049032
{txt}{space 20}female {c |}{col 28}{res}{space 2}-.0621636{col 40}{space 2} .0280513{col 51}{space 1}   -2.22{col 60}{space 3}0.027{col 68}{space 4}-.1172123{col 81}{space 3}-.0071149
{txt}{space 21}white {c |}{col 28}{res}{space 2} .0288707{col 40}{space 2} .0335543{col 51}{space 1}    0.86{col 60}{space 3}0.390{col 68}{space 4}-.0369772{col 81}{space 3} .0947186
{txt}{space 18}hispanic {c |}{col 28}{res}{space 2} .0001564{col 40}{space 2} .0385655{col 51}{space 1}    0.00{col 60}{space 3}0.997{col 68}{space 4}-.0755256{col 81}{space 3} .0758385
{txt}{space 19}college {c |}{col 28}{res}{space 2} .0372367{col 40}{space 2} .0299165{col 51}{space 1}    1.24{col 60}{space 3}0.214{col 68}{space 4}-.0214725{col 81}{space 3} .0959458
{txt}{space 26} {c |}
{space 19}pid3alt {c |}
{space 14}Independent  {c |}{col 28}{res}{space 2}-.0753054{col 40}{space 2} .0366794{col 51}{space 1}   -2.05{col 60}{space 3}0.040{col 68}{space 4}-.1472861{col 81}{space 3}-.0033247
{txt}{space 15}Republican  {c |}{col 28}{res}{space 2} .2742525{col 40}{space 2}  .032904{col 51}{space 1}    8.33{col 60}{space 3}0.000{col 68}{space 4} .2096806{col 81}{space 3} .3388244
{txt}{space 26} {c |}
{space 20}mobile {c |}
{space 19}Mobile  {c |}{col 28}{res}{space 2} .0162792{col 40}{space 2} .0300643{col 51}{space 1}    0.54{col 60}{space 3}0.588{col 68}{space 4}-.0427199{col 81}{space 3} .0752783
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} .0676394{col 40}{space 2} .0585128{col 51}{space 1}    1.16{col 60}{space 3}0.248{col 68}{space 4}-.0471879{col 81}{space 3} .1824666
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. est sto prc2_m2_ols
{txt}
{com}. local prc2_m2_olsN = `e(N)'
{txt}
{com}. 
. 
. *** USA x Trust with Core Covariates
. 
. reg prc2_DV_main_dichot i.prc2_treat_usa##i.trust_fed_num i.prc2_treat_prc              ///
>         i.prc2_mancheck `demographics' `technical', robust

{txt}Linear regression                               Number of obs     = {res}       968
                                                {txt}F(15, 952)        =  {res}    12.30
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1494
                                                {txt}Root MSE          =    {res} .43537

{txt}{hline 29}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 30}{c |}{col 42}    Robust
{col 1}         prc2_DV_main_dichot{col 30}{c |} Coefficient{col 42}  std. err.{col 54}      t{col 62}   P>|t|{col 70}     [95% con{col 83}f. interval]
{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}prc2_treat_usa {c |}
{space 18}Undermine  {c |}{col 30}{res}{space 2}  .099444{col 42}{space 2}  .048606{col 53}{space 1}    2.05{col 62}{space 3}0.041{col 70}{space 4} .0040567{col 83}{space 3} .1948312
{txt}{space 28} {c |}
{space 15}trust_fed_num {c |}
{space 19}A little  {c |}{col 30}{res}{space 2}-.0554141{col 42}{space 2} .0416812{col 53}{space 1}   -1.33{col 62}{space 3}0.184{col 70}{space 4}-.1372118{col 83}{space 3} .0263836
{txt}{space 22}A lot  {c |}{col 30}{res}{space 2} .0826533{col 42}{space 2} .0787332{col 53}{space 1}    1.05{col 62}{space 3}0.294{col 70}{space 4}-.0718574{col 83}{space 3} .2371641
{txt}{space 28} {c |}
prc2_treat_usa#trust_fed_num {c |}
{space 9}Undermine#A little  {c |}{col 30}{res}{space 2}-.0862253{col 42}{space 2} .0609773{col 53}{space 1}   -1.41{col 62}{space 3}0.158{col 70}{space 4}-.2058907{col 83}{space 3} .0334401
{txt}{space 12}Undermine#A lot  {c |}{col 30}{res}{space 2}-.1903327{col 42}{space 2} .1040228{col 53}{space 1}   -1.83{col 62}{space 3}0.068{col 70}{space 4}-.3944732{col 83}{space 3} .0138078
{txt}{space 28} {c |}
{space 14}prc2_treat_prc {c |}
{space 16}PRC Hostile  {c |}{col 30}{res}{space 2} -.009497{col 42}{space 2} .0286969{col 53}{space 1}   -0.33{col 62}{space 3}0.741{col 70}{space 4}-.0658135{col 83}{space 3} .0468195
{txt}{space 28} {c |}
{space 15}prc2_mancheck {c |}
{space 2}Passed manipulation check  {c |}{col 30}{res}{space 2}-.0414454{col 42}{space 2} .0290153{col 53}{space 1}   -1.43{col 62}{space 3}0.154{col 70}{space 4}-.0983868{col 83}{space 3} .0154959
{txt}{space 25}age {c |}{col 30}{res}{space 2} .0034677{col 42}{space 2} .0008214{col 53}{space 1}    4.22{col 62}{space 3}0.000{col 70}{space 4} .0018557{col 83}{space 3} .0050797
{txt}{space 22}female {c |}{col 30}{res}{space 2}-.0562901{col 42}{space 2}   .02816{col 53}{space 1}   -2.00{col 62}{space 3}0.046{col 70}{space 4} -.111553{col 83}{space 3}-.0010272
{txt}{space 23}white {c |}{col 30}{res}{space 2} .0256676{col 42}{space 2} .0336016{col 53}{space 1}    0.76{col 62}{space 3}0.445{col 70}{space 4}-.0402741{col 83}{space 3} .0916094
{txt}{space 20}hispanic {c |}{col 30}{res}{space 2} .0038689{col 42}{space 2} .0380869{col 53}{space 1}    0.10{col 62}{space 3}0.919{col 70}{space 4}-.0708752{col 83}{space 3} .0786129
{txt}{space 21}college {c |}{col 30}{res}{space 2} .0358928{col 42}{space 2} .0299206{col 53}{space 1}    1.20{col 62}{space 3}0.231{col 70}{space 4}-.0228251{col 83}{space 3} .0946107
{txt}{space 28} {c |}
{space 21}pid3alt {c |}
{space 16}Independent  {c |}{col 30}{res}{space 2}-.0891587{col 42}{space 2} .0365929{col 53}{space 1}   -2.44{col 62}{space 3}0.015{col 70}{space 4}-.1609708{col 83}{space 3}-.0173467
{txt}{space 17}Republican  {c |}{col 30}{res}{space 2} .2460107{col 42}{space 2} .0341508{col 53}{space 1}    7.20{col 62}{space 3}0.000{col 70}{space 4} .1789911{col 83}{space 3} .3130303
{txt}{space 28} {c |}
{space 22}mobile {c |}
{space 21}Mobile  {c |}{col 30}{res}{space 2} .0160613{col 42}{space 2} .0298568{col 53}{space 1}    0.54{col 62}{space 3}0.591{col 70}{space 4}-.0425315{col 83}{space 3}  .074654
{txt}{space 23}_cons {c |}{col 30}{res}{space 2} .0912104{col 42}{space 2} .0645772{col 53}{space 1}    1.41{col 62}{space 3}0.158{col 70}{space 4}-.0355197{col 83}{space 3} .2179405
{txt}{hline 29}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. est sto prc2_m7_ols
{txt}
{com}. local prc2_m7_olsN = `e(N)'
{txt}
{com}. 
. *** OLS Coefficient Graph Experiment 2
. coefplot                                                                                                                                                ///
>                 (prc2_m2_ols,   label(Base (`prc2_m2_olsN')))                                                   ///
>                 (prc2_m7_ols    ,label(Interaction (`prc2_m7_olsN')))                                   ///
>                 , xline(0,lcolor(black))                                                                                                ///
>                 order(*prc2_treat_usa *prc2_treat_prc *trust_fed_num *prc2_treat_usa#*) ///
>                 headings(2.prc2_treat_usa = "{c -(}bf:State Dept Reaction{c )-}"                                  ///
>                                 2.prc2_treat_prc = "{c -(}bf:China Reaction{c )-}"                                                ///
>                                 2.trust_fed_num = "{c -(}bf:Trust in Federal Govt{c )-}"                                  ///
>                                 2.prc2_treat_usa#2.trust_fed_num  = "{c -(}bf:State Dept x Trust{c )-}"   ///
>                                 1.threat_prc_2  = "{c -(}bf:Threat Perception{c )-}"                                              ///
>                                 2.prc2_treat_prc#1.threat_prc_2  = "{c -(}bf:Reaction x Threat{c )-}"             ///
>                                 ?.prc2_mancheck = "{c -(}it:Covariates{c )-}"                                                             ///
>                                 )                                                                                                                               ///
>                 title("{c -(}bf:B:{c )-} {c -(}it: Support for Restrictions by State Dept.{c )-}"                   ///
>                                 "{c -(}it:and PRC Reactions to State Initiative{c )-}",   ///
>                                 span justification(left) size(medsmall))                                                ///
>                 xtitle("OLS Coefficients", size(small))                                                                 ///
>                 coeflabels(, interaction(" x ") labsize(small))                                                 ///
>                 legend(rows(2) pos(11) ring(0) size(vsmall) linegap(*.5) region(color(none)))                                                   ///
>                 drop(*cons *.mobile hispanic white female                                                               /// 
>                                 *.college *.pid3alt *mancheck age)                                                              ///
>                 name(g_exp2_ols_short,replace)                                                                                  ///
>                 note("Full model includes survey mode, ethnicity, race, gender, education, party ID, ""manipulation check, and age.", size(vsmall) span)
{res}{txt}
{com}. 
. * For interpretation
. est restore prc2_m7_ols
{txt}(results {stata estimates replay prc2_m7_ols:prc2_m7_ols} are active now)

{com}. margins prc2_treat_usa#trust_fed_num
{res}
{txt}{col 1}Predictive margins{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:968}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 29}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 30}{c |}{col 42} Delta-method
{col 30}{c |}     Margin{col 42}   std. err.{col 54}      t{col 62}   P>|t|{col 70}     [95% con{col 83}f. interval]
{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
prc2_treat_usa#trust_fed_num {c |}
{space 6}No Stance#None at all  {c |}{col 30}{res}{space 2} .3283775{col 42}{space 2} .0325771{col 53}{space 1}   10.08{col 62}{space 3}0.000{col 70}{space 4} .2644462{col 83}{space 3} .3923088
{txt}{space 9}No Stance#A little  {c |}{col 30}{res}{space 2} .2729634{col 42}{space 2}  .025932{col 53}{space 1}   10.53{col 62}{space 3}0.000{col 70}{space 4} .2220729{col 83}{space 3} .3238539
{txt}{space 12}No Stance#A lot  {c |}{col 30}{res}{space 2} .4110308{col 42}{space 2} .0718133{col 53}{space 1}    5.72{col 62}{space 3}0.000{col 70}{space 4} .2701001{col 83}{space 3} .5519616
{txt}{space 6}Undermine#None at all  {c |}{col 30}{res}{space 2} .4278215{col 42}{space 2} .0360896{col 53}{space 1}   11.85{col 62}{space 3}0.000{col 70}{space 4} .3569971{col 83}{space 3} .4986459
{txt}{space 9}Undermine#A little  {c |}{col 30}{res}{space 2} .2861821{col 42}{space 2} .0275677{col 53}{space 1}   10.38{col 62}{space 3}0.000{col 70}{space 4} .2320816{col 83}{space 3} .3402825
{txt}{space 12}Undermine#A lot  {c |}{col 30}{res}{space 2} .3201421{col 42}{space 2}  .058105{col 53}{space 1}    5.51{col 62}{space 3}0.000{col 70}{space 4} .2061134{col 83}{space 3} .4341708
{txt}{hline 29}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. mplotoffset ///
>         , title("{c -(}bf: C:{c )-} {c -(}it:Predicted Support for Restrictions by State Dept{c )-}" "{c -(}it:Reaction and Trust in Federal Government{c )-}" ///
>                 , justification(left) span size(medsmall))                                      ///
>         name(g_exp2_interact, replace) legend(off)                                                                      ///
>         text(.23 1.25 "A little", color(eltblue))                                                                       ///
>         text(.47 1.73 "No trust at all", color(cranberry))                                                              ///
>         text(.45 1.2 "A lot", color(darkgray))                                                                          ///
>         fysize(36)      ///
>         ytitle("Predicted share of respondents approving", size(vsmall))                        ///
>         note("Calculated from Interaction model in Panel B.", span size(vsmall))                        ///
>         yla(.2 "20" .3 "30" .4 "40" .5 "50" .6 "60")                                                            ///
>         plot1opts(lpattern(dash))                                                                                                       ///
>         xtitle("State Dept Reaction")

{text}{p 2 6 2}Variables that uniquely identify margins: prc2_treat_usa trust_fed_num{p_end}
{res}{p 0 4 2}
{txt}(note:  named style
darkgray not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}.         
. gr combine g_exp2_ols_short g_exp2_interact                                                                             ///
>         , rows(2) name(g_exp2_temp, replace)
{p 0 4 2}
{txt}(note:  named style
darkgray not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. 
. gr combine g_exp2_summary g_exp2_temp                                                                                   ///
>         , rows(1)  xsize(9) ysize(10)                           
{res}{p 0 4 2}
{txt}(note:  named style
darkgray not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}.         /// title("{c -(}bf:Experiment 2:{c )-} State Dept. caution elicits contrasting " ///
>         /// "responses by trust in federal government"                  ///
>         ///     , justification(left) size(medsmall))
>         
. gr export "${c -(}MyProject{c )-}/PAPER Figure 4.pdf", replace
{txt}{p 0 4 2}
file {bf}
~/Dropbox/0001 Academic Projects/Completed/0171 Parasecurity and Education/Replication/PAPER Figure 4.pdf{rm}
saved as
PDF
format
{p_end}

{com}.                 
. 
. 
. 
. reg prc2_DV_main_dichot i.prc2_treat_usa##i.trust_fed_num i.prc2_treat_prc      ///
> state_control_match     ///
>         i.prc2_mancheck `demographics' `technical' if small_state == 0 & pid3 != 1, robust

{txt}Linear regression                               Number of obs     = {res}       659
                                                {txt}F(15, 643)        =  {res}     9.09
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1531
                                                {txt}Root MSE          =    {res} .44224

{txt}{hline 29}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 30}{c |}{col 42}    Robust
{col 1}         prc2_DV_main_dichot{col 30}{c |} Coefficient{col 42}  std. err.{col 54}      t{col 62}   P>|t|{col 70}     [95% con{col 83}f. interval]
{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}prc2_treat_usa {c |}
{space 18}Undermine  {c |}{col 30}{res}{space 2} .0861123{col 42}{space 2} .0654216{col 53}{space 1}    1.32{col 62}{space 3}0.189{col 70}{space 4}-.0423535{col 83}{space 3} .2145781
{txt}{space 28} {c |}
{space 15}trust_fed_num {c |}
{space 19}A little  {c |}{col 30}{res}{space 2} -.084084{col 42}{space 2} .0568815{col 53}{space 1}   -1.48{col 62}{space 3}0.140{col 70}{space 4}  -.19578{col 83}{space 3}  .027612
{txt}{space 22}A lot  {c |}{col 30}{res}{space 2} .1411595{col 42}{space 2} .0918493{col 53}{space 1}    1.54{col 62}{space 3}0.125{col 70}{space 4}-.0392013{col 83}{space 3} .3215202
{txt}{space 28} {c |}
prc2_treat_usa#trust_fed_num {c |}
{space 9}Undermine#A little  {c |}{col 30}{res}{space 2}  -.08853{col 42}{space 2}   .07845{col 53}{space 1}   -1.13{col 62}{space 3}0.260{col 70}{space 4}-.2425792{col 83}{space 3} .0655193
{txt}{space 12}Undermine#A lot  {c |}{col 30}{res}{space 2}-.2123579{col 42}{space 2} .1227177{col 53}{space 1}   -1.73{col 62}{space 3}0.084{col 70}{space 4}-.4533337{col 83}{space 3} .0286179
{txt}{space 28} {c |}
{space 14}prc2_treat_prc {c |}
{space 16}PRC Hostile  {c |}{col 30}{res}{space 2}-.0431393{col 42}{space 2} .0355841{col 53}{space 1}   -1.21{col 62}{space 3}0.226{col 70}{space 4}-.1130143{col 83}{space 3} .0267357
{txt}{space 9}state_control_match {c |}{col 30}{res}{space 2}-.0512865{col 42}{space 2} .0352002{col 53}{space 1}   -1.46{col 62}{space 3}0.146{col 70}{space 4}-.1204078{col 83}{space 3} .0178348
{txt}{space 28} {c |}
{space 15}prc2_mancheck {c |}
{space 2}Passed manipulation check  {c |}{col 30}{res}{space 2}-.0794754{col 42}{space 2}  .036326{col 53}{space 1}   -2.19{col 62}{space 3}0.029{col 70}{space 4}-.1508073{col 83}{space 3}-.0081435
{txt}{space 25}age {c |}{col 30}{res}{space 2} .0032958{col 42}{space 2}  .001015{col 53}{space 1}    3.25{col 62}{space 3}0.001{col 70}{space 4} .0013026{col 83}{space 3}  .005289
{txt}{space 22}female {c |}{col 30}{res}{space 2}-.0499137{col 42}{space 2} .0353364{col 53}{space 1}   -1.41{col 62}{space 3}0.158{col 70}{space 4}-.1193024{col 83}{space 3} .0194751
{txt}{space 23}white {c |}{col 30}{res}{space 2} .0357776{col 42}{space 2} .0408257{col 53}{space 1}    0.88{col 62}{space 3}0.381{col 70}{space 4}-.0443902{col 83}{space 3} .1159453
{txt}{space 20}hispanic {c |}{col 30}{res}{space 2} .0366612{col 42}{space 2} .0466187{col 53}{space 1}    0.79{col 62}{space 3}0.432{col 70}{space 4} -.054882{col 83}{space 3} .1282044
{txt}{space 21}college {c |}{col 30}{res}{space 2} .0458191{col 42}{space 2}  .036051{col 53}{space 1}    1.27{col 62}{space 3}0.204{col 70}{space 4}-.0249729{col 83}{space 3} .1166111
{txt}{space 28} {c |}
{space 21}pid3alt {c |}
{space 17}Republican  {c |}{col 30}{res}{space 2} .2327897{col 42}{space 2} .0396522{col 53}{space 1}    5.87{col 62}{space 3}0.000{col 70}{space 4} .1549262{col 83}{space 3} .3106531
{txt}{space 28} {c |}
{space 22}mobile {c |}
{space 21}Mobile  {c |}{col 30}{res}{space 2} .0191293{col 42}{space 2} .0367957{col 53}{space 1}    0.52{col 62}{space 3}0.603{col 70}{space 4} -.053125{col 83}{space 3} .0913836
{txt}{space 23}_cons {c |}{col 30}{res}{space 2} .1442888{col 42}{space 2} .0826604{col 53}{space 1}    1.75{col 62}{space 3}0.081{col 70}{space 4}-.0180282{col 83}{space 3} .3066058
{txt}{hline 29}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. est sto prc2_statematch         
{txt}
{com}.                 
. * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * 
. * Logit
. * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * 
. 
. ****** Demographics
. 
. logit prc2_DV_main_dichot i.prc2_treat_usa i.prc2_treat_prc i.prc2_mancheck     ///
>         i.prc2_mancheck `demographics' `technical', robust

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-613.43786}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-547.38661}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-545.87341}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-545.86675}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-545.86675}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:975}
{txt}{col 57}{lalign 13:Wald chi2({res:11})}{col 70} = {res}{ralign 6:117.59}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-545.86675}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.1102}

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}       prc2_DV_main_dichot{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      z{col 60}   P>|z|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}prc2_treat_usa {c |}
{space 16}Undermine  {c |}{col 28}{res}{space 2} .1462809{col 40}{space 2} .1477073{col 51}{space 1}    0.99{col 60}{space 3}0.322{col 68}{space 4}-.1432201{col 81}{space 3}  .435782
{txt}{space 26} {c |}
{space 12}prc2_treat_prc {c |}
{space 14}PRC Hostile  {c |}{col 28}{res}{space 2}-.0482337{col 40}{space 2} .1505907{col 51}{space 1}   -0.32{col 60}{space 3}0.749{col 68}{space 4} -.343386{col 81}{space 3} .2469187
{txt}{space 26} {c |}
{space 13}prc2_mancheck {c |}
Passed manipulation check  {c |}{col 28}{res}{space 2}-.2298651{col 40}{space 2} .1519356{col 51}{space 1}   -1.51{col 60}{space 3}0.130{col 68}{space 4}-.5276534{col 81}{space 3} .0679233
{txt}{space 23}age {c |}{col 28}{res}{space 2} .0170323{col 40}{space 2} .0043372{col 51}{space 1}    3.93{col 60}{space 3}0.000{col 68}{space 4} .0085316{col 81}{space 3}  .025533
{txt}{space 20}female {c |}{col 28}{res}{space 2} -.324964{col 40}{space 2} .1486058{col 51}{space 1}   -2.19{col 60}{space 3}0.029{col 68}{space 4}-.6162261{col 81}{space 3}-.0337019
{txt}{space 21}white {c |}{col 28}{res}{space 2} .1641335{col 40}{space 2} .1956131{col 51}{space 1}    0.84{col 60}{space 3}0.401{col 68}{space 4}-.2192611{col 81}{space 3} .5475282
{txt}{space 18}hispanic {c |}{col 28}{res}{space 2} .0104553{col 40}{space 2} .2090927{col 51}{space 1}    0.05{col 60}{space 3}0.960{col 68}{space 4}-.3993588{col 81}{space 3} .4202694
{txt}{space 19}college {c |}{col 28}{res}{space 2}  .188547{col 40}{space 2} .1543629{col 51}{space 1}    1.22{col 60}{space 3}0.222{col 68}{space 4}-.1139986{col 81}{space 3} .4910926
{txt}{space 26} {c |}
{space 19}pid3alt {c |}
{space 14}Independent  {c |}{col 28}{res}{space 2}-.5705129{col 40}{space 2} .2968698{col 51}{space 1}   -1.92{col 60}{space 3}0.055{col 68}{space 4}-1.152367{col 81}{space 3} .0113412
{txt}{space 15}Republican  {c |}{col 28}{res}{space 2}  1.26442{col 40}{space 2} .1606101{col 51}{space 1}    7.87{col 60}{space 3}0.000{col 68}{space 4} .9496305{col 81}{space 3}  1.57921
{txt}{space 26} {c |}
{space 20}mobile {c |}
{space 19}Mobile  {c |}{col 28}{res}{space 2} .0779886{col 40}{space 2} .1563928{col 51}{space 1}    0.50{col 60}{space 3}0.618{col 68}{space 4}-.2285358{col 81}{space 3} .3845129
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-2.097416{col 40}{space 2} .3283072{col 51}{space 1}   -6.39{col 60}{space 3}0.000{col 68}{space 4}-2.740887{col 81}{space 3}-1.453946
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. est sto prc2_m2_logit
{txt}
{com}. 
. 
. *** USA x Trust with Core Covariates
. logit prc2_DV_main_dichot i.prc2_treat_usa##i.trust_fed_num i.prc2_treat_prc  i.prc2_mancheck `demographics'  `technical', robust

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-609.96306}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-536.84483}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-535.07385}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-535.06772}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-535.06772}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:968}
{txt}{col 57}{lalign 13:Wald chi2({res:15})}{col 70} = {res}{ralign 6:128.51}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-535.06772}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.1228}

{txt}{hline 29}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 30}{c |}{col 42}    Robust
{col 1}         prc2_DV_main_dichot{col 30}{c |} Coefficient{col 42}  std. err.{col 54}      z{col 62}   P>|z|{col 70}     [95% con{col 83}f. interval]
{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}prc2_treat_usa {c |}
{space 18}Undermine  {c |}{col 30}{res}{space 2} .4465996{col 42}{space 2} .2362302{col 53}{space 1}    1.89{col 62}{space 3}0.059{col 70}{space 4}-.0164032{col 83}{space 3} .9096024
{txt}{space 28} {c |}
{space 15}trust_fed_num {c |}
{space 19}A little  {c |}{col 30}{res}{space 2}-.3130592{col 42}{space 2} .2269114{col 53}{space 1}   -1.38{col 62}{space 3}0.168{col 70}{space 4}-.7577974{col 83}{space 3}  .131679
{txt}{space 22}A lot  {c |}{col 30}{res}{space 2} .3990124{col 42}{space 2} .3628661{col 53}{space 1}    1.10{col 62}{space 3}0.272{col 70}{space 4}-.3121921{col 83}{space 3} 1.110217
{txt}{space 28} {c |}
prc2_treat_usa#trust_fed_num {c |}
{space 9}Undermine#A little  {c |}{col 30}{res}{space 2}-.3691624{col 42}{space 2} .3195221{col 53}{space 1}   -1.16{col 62}{space 3}0.248{col 70}{space 4}-.9954142{col 83}{space 3} .2570894
{txt}{space 12}Undermine#A lot  {c |}{col 30}{res}{space 2}-.8716265{col 42}{space 2} .4901272{col 53}{space 1}   -1.78{col 62}{space 3}0.075{col 70}{space 4}-1.832258{col 83}{space 3} .0890052
{txt}{space 28} {c |}
{space 14}prc2_treat_prc {c |}
{space 16}PRC Hostile  {c |}{col 30}{res}{space 2}-.0539743{col 42}{space 2} .1521206{col 53}{space 1}   -0.35{col 62}{space 3}0.723{col 70}{space 4}-.3521253{col 83}{space 3} .2441767
{txt}{space 28} {c |}
{space 15}prc2_mancheck {c |}
{space 2}Passed manipulation check  {c |}{col 30}{res}{space 2}-.2209886{col 42}{space 2} .1552302{col 53}{space 1}   -1.42{col 62}{space 3}0.155{col 70}{space 4}-.5252343{col 83}{space 3} .0832571
{txt}{space 25}age {c |}{col 30}{res}{space 2} .0182109{col 42}{space 2} .0043761{col 53}{space 1}    4.16{col 62}{space 3}0.000{col 70}{space 4} .0096339{col 83}{space 3} .0267879
{txt}{space 22}female {c |}{col 30}{res}{space 2}-.2957038{col 42}{space 2} .1511097{col 53}{space 1}   -1.96{col 62}{space 3}0.050{col 70}{space 4}-.5918734{col 83}{space 3} .0004658
{txt}{space 23}white {c |}{col 30}{res}{space 2}  .153804{col 42}{space 2} .1980268{col 53}{space 1}    0.78{col 62}{space 3}0.437{col 70}{space 4}-.2343214{col 83}{space 3} .5419295
{txt}{space 20}hispanic {c |}{col 30}{res}{space 2} .0380647{col 42}{space 2} .2068028{col 53}{space 1}    0.18{col 62}{space 3}0.854{col 70}{space 4}-.3672612{col 83}{space 3} .4433907
{txt}{space 21}college {c |}{col 30}{res}{space 2} .1910159{col 42}{space 2} .1569654{col 53}{space 1}    1.22{col 62}{space 3}0.224{col 70}{space 4}-.1166305{col 83}{space 3} .4986624
{txt}{space 28} {c |}
{space 21}pid3alt {c |}
{space 16}Independent  {c |}{col 30}{res}{space 2}-.6530832{col 42}{space 2}  .296654{col 53}{space 1}   -2.20{col 62}{space 3}0.028{col 70}{space 4}-1.234514{col 83}{space 3}-.0716521
{txt}{space 17}Republican  {c |}{col 30}{res}{space 2}  1.13594{col 42}{space 2} .1658498{col 53}{space 1}    6.85{col 62}{space 3}0.000{col 70}{space 4} .8108804{col 83}{space 3}    1.461
{txt}{space 28} {c |}
{space 22}mobile {c |}
{space 21}Mobile  {c |}{col 30}{res}{space 2} .0886936{col 42}{space 2} .1578191{col 53}{space 1}    0.56{col 62}{space 3}0.574{col 70}{space 4}-.2206261{col 83}{space 3} .3980134
{txt}{space 23}_cons {c |}{col 30}{res}{space 2}-1.992874{col 42}{space 2} .3580586{col 53}{space 1}   -5.57{col 62}{space 3}0.000{col 70}{space 4}-2.694656{col 83}{space 3}-1.291092
{txt}{hline 29}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. est sto prc2_m7_logit
{txt}
{com}. 
.         
. * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * 
. * Ologit
. * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * 
. 
. ****** Demographics
. 
. ologit prc2_DV_main i.prc2_treat_usa i.prc2_treat_prc i.prc2_mancheck                   ///
>         `demographics' `technical', robust

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-1555.7298}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-1478.4611}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-1477.6646}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-1477.6636}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-1477.6636}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:975}
{txt}{col 57}{lalign 13:Wald chi2({res:11})}{col 70} = {res}{ralign 6:138.34}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-1477.6636}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0502}

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}              prc2_DV_main{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      z{col 60}   P>|z|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}prc2_treat_usa {c |}
{space 16}Undermine  {c |}{col 28}{res}{space 2} .0710649{col 40}{space 2} .1148547{col 51}{space 1}    0.62{col 60}{space 3}0.536{col 68}{space 4}-.1540461{col 81}{space 3} .2961759
{txt}{space 26} {c |}
{space 12}prc2_treat_prc {c |}
{space 14}PRC Hostile  {c |}{col 28}{res}{space 2}-.0625041{col 40}{space 2} .1155604{col 51}{space 1}   -0.54{col 60}{space 3}0.589{col 68}{space 4}-.2889983{col 81}{space 3}   .16399
{txt}{space 26} {c |}
{space 13}prc2_mancheck {c |}
Passed manipulation check  {c |}{col 28}{res}{space 2}-.3282238{col 40}{space 2} .1184488{col 51}{space 1}   -2.77{col 60}{space 3}0.006{col 68}{space 4}-.5603791{col 81}{space 3}-.0960685
{txt}{space 23}age {c |}{col 28}{res}{space 2}  .016483{col 40}{space 2} .0035281{col 51}{space 1}    4.67{col 60}{space 3}0.000{col 68}{space 4} .0095681{col 81}{space 3} .0233979
{txt}{space 20}female {c |}{col 28}{res}{space 2}-.1228055{col 40}{space 2} .1145365{col 51}{space 1}   -1.07{col 60}{space 3}0.284{col 68}{space 4}-.3472928{col 81}{space 3} .1016818
{txt}{space 21}white {c |}{col 28}{res}{space 2} .0383133{col 40}{space 2} .1395094{col 51}{space 1}    0.27{col 60}{space 3}0.784{col 68}{space 4}  -.23512{col 81}{space 3} .3117466
{txt}{space 18}hispanic {c |}{col 28}{res}{space 2}-.0322135{col 40}{space 2} .1659659{col 51}{space 1}   -0.19{col 60}{space 3}0.846{col 68}{space 4}-.3575007{col 81}{space 3} .2930736
{txt}{space 19}college {c |}{col 28}{res}{space 2}-.0840918{col 40}{space 2} .1201452{col 51}{space 1}   -0.70{col 60}{space 3}0.484{col 68}{space 4}-.3195722{col 81}{space 3} .1513886
{txt}{space 26} {c |}
{space 19}pid3alt {c |}
{space 14}Independent  {c |}{col 28}{res}{space 2} .2516508{col 40}{space 2} .1550764{col 51}{space 1}    1.62{col 60}{space 3}0.105{col 68}{space 4}-.0522934{col 81}{space 3} .5555949
{txt}{space 15}Republican  {c |}{col 28}{res}{space 2} 1.330395{col 40}{space 2} .1397811{col 51}{space 1}    9.52{col 60}{space 3}0.000{col 68}{space 4} 1.056429{col 81}{space 3} 1.604361
{txt}{space 26} {c |}
{space 20}mobile {c |}
{space 19}Mobile  {c |}{col 28}{res}{space 2} .1054484{col 40}{space 2} .1248968{col 51}{space 1}    0.84{col 60}{space 3}0.399{col 68}{space 4}-.1393449{col 81}{space 3} .3502417
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}/cut1 {c |}{col 28}{res}{space 2}-.3079919{col 40}{space 2} .2550908{col 68}{space 4}-.8079606{col 81}{space 3} .1919769
{txt}{space 21}/cut2 {c |}{col 28}{res}{space 2} .9429189{col 40}{space 2}  .255307{col 68}{space 4} .4425264{col 81}{space 3} 1.443311
{txt}{space 21}/cut3 {c |}{col 28}{res}{space 2} 1.999228{col 40}{space 2} .2628502{col 68}{space 4} 1.484052{col 81}{space 3} 2.514405
{txt}{space 21}/cut4 {c |}{col 28}{res}{space 2} 3.028003{col 40}{space 2} .2794304{col 68}{space 4} 2.480329{col 81}{space 3} 3.575676
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. est sto prc2_m2_ologit
{txt}
{com}. 
. 
. *** USA x Trust with Core Covariates
. 
. ologit prc2_DV_main i.prc2_treat_usa##i.trust_fed_num i.prc2_treat_prc                  ///             
>         i.prc2_mancheck `demographics' `technical', robust

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-1545.0453}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-1461.7175}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-1460.7562}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-1460.7548}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-1460.7548}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:968}
{txt}{col 57}{lalign 13:Wald chi2({res:15})}{col 70} = {res}{ralign 6:149.42}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-1460.7548}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0546}

{txt}{hline 29}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 30}{c |}{col 42}    Robust
{col 1}                prc2_DV_main{col 30}{c |} Coefficient{col 42}  std. err.{col 54}      z{col 62}   P>|z|{col 70}     [95% con{col 83}f. interval]
{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}prc2_treat_usa {c |}
{space 18}Undermine  {c |}{col 30}{res}{space 2} .3955209{col 42}{space 2} .1988628{col 53}{space 1}    1.99{col 62}{space 3}0.047{col 70}{space 4}  .005757{col 83}{space 3} .7852848
{txt}{space 28} {c |}
{space 15}trust_fed_num {c |}
{space 19}A little  {c |}{col 30}{res}{space 2} -.112171{col 42}{space 2} .1823429{col 53}{space 1}   -0.62{col 62}{space 3}0.538{col 70}{space 4}-.4695564{col 83}{space 3} .2452144
{txt}{space 22}A lot  {c |}{col 30}{res}{space 2} .3465308{col 42}{space 2} .3237505{col 53}{space 1}    1.07{col 62}{space 3}0.284{col 70}{space 4}-.2880085{col 83}{space 3} .9810701
{txt}{space 28} {c |}
prc2_treat_usa#trust_fed_num {c |}
{space 9}Undermine#A little  {c |}{col 30}{res}{space 2}-.3921289{col 42}{space 2} .2518507{col 53}{space 1}   -1.56{col 62}{space 3}0.119{col 70}{space 4}-.8857472{col 83}{space 3} .1014894
{txt}{space 12}Undermine#A lot  {c |}{col 30}{res}{space 2}-.9567642{col 42}{space 2} .4287715{col 53}{space 1}   -2.23{col 62}{space 3}0.026{col 70}{space 4}-1.797141{col 83}{space 3}-.1163875
{txt}{space 28} {c |}
{space 14}prc2_treat_prc {c |}
{space 16}PRC Hostile  {c |}{col 30}{res}{space 2}-.0650629{col 42}{space 2} .1172348{col 53}{space 1}   -0.55{col 62}{space 3}0.579{col 70}{space 4}-.2948388{col 83}{space 3}  .164713
{txt}{space 28} {c |}
{space 15}prc2_mancheck {c |}
{space 2}Passed manipulation check  {c |}{col 30}{res}{space 2}-.3368589{col 42}{space 2}  .120575{col 53}{space 1}   -2.79{col 62}{space 3}0.005{col 70}{space 4}-.5731815{col 83}{space 3}-.1005363
{txt}{space 25}age {c |}{col 30}{res}{space 2} .0173341{col 42}{space 2} .0035881{col 53}{space 1}    4.83{col 62}{space 3}0.000{col 70}{space 4} .0103016{col 83}{space 3} .0243666
{txt}{space 22}female {c |}{col 30}{res}{space 2}-.1160174{col 42}{space 2}  .116226{col 53}{space 1}   -1.00{col 62}{space 3}0.318{col 70}{space 4}-.3438161{col 83}{space 3} .1117814
{txt}{space 23}white {c |}{col 30}{res}{space 2} .0274116{col 42}{space 2} .1420865{col 53}{space 1}    0.19{col 62}{space 3}0.847{col 70}{space 4}-.2510728{col 83}{space 3}  .305896
{txt}{space 20}hispanic {c |}{col 30}{res}{space 2}-.0128782{col 42}{space 2} .1661861{col 53}{space 1}   -0.08{col 62}{space 3}0.938{col 70}{space 4}-.3385969{col 83}{space 3} .3128405
{txt}{space 21}college {c |}{col 30}{res}{space 2} -.090606{col 42}{space 2} .1210496{col 53}{space 1}   -0.75{col 62}{space 3}0.454{col 70}{space 4}-.3278588{col 83}{space 3} .1466469
{txt}{space 28} {c |}
{space 21}pid3alt {c |}
{space 16}Independent  {c |}{col 30}{res}{space 2} .1884657{col 42}{space 2} .1572886{col 53}{space 1}    1.20{col 62}{space 3}0.231{col 70}{space 4}-.1198142{col 83}{space 3} .4967457
{txt}{space 17}Republican  {c |}{col 30}{res}{space 2} 1.237206{col 42}{space 2} .1446382{col 53}{space 1}    8.55{col 62}{space 3}0.000{col 70}{space 4} .9537208{col 83}{space 3} 1.520692
{txt}{space 28} {c |}
{space 22}mobile {c |}
{space 21}Mobile  {c |}{col 30}{res}{space 2} .0938209{col 42}{space 2} .1258465{col 53}{space 1}    0.75{col 62}{space 3}0.456{col 70}{space 4}-.1528338{col 83}{space 3} .3404756
{txt}{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 23}/cut1 {c |}{col 30}{res}{space 2}-.3696858{col 42}{space 2} .2906179{col 70}{space 4}-.9392864{col 83}{space 3} .1999148
{txt}{space 23}/cut2 {c |}{col 30}{res}{space 2} .8819409{col 42}{space 2} .2898595{col 70}{space 4} .3138267{col 83}{space 3} 1.450055
{txt}{space 23}/cut3 {c |}{col 30}{res}{space 2} 1.950558{col 42}{space 2} .2960418{col 70}{space 4} 1.370327{col 83}{space 3} 2.530789
{txt}{space 23}/cut4 {c |}{col 30}{res}{space 2} 2.991177{col 42}{space 2} .3135148{col 70}{space 4} 2.376699{col 83}{space 3} 3.605655
{txt}{hline 29}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. est sto prc2_m7_ologit
{txt}
{com}. 
. 
. esttab ///
>         prc2_m2_ols  prc2_m7_ols                                                                                                        ///
>         prc2_m2_logit  prc2_m7_logit                                                                                            /// 
>         prc2_m2_ologit  prc2_m7_ologit                                                                                          /// 
>         using "${c -(}MyProject{c )-}/APPENDIX Table A11.tex"                     ///
>         , replace longtable lab noomit nobase  nogap                                                            ///
>         se(%9.1f) b(%9.1f)      star(+ 0.10 * 0.051)                                                                    ///
>         nonotes addnote(Robust standard errors in parantheses)                                          ///
>         varwidth(30)                                                                                                                            ///
>         title("Experiment 2 Core Results \label{c -(}tab:exp2core{c )-}")                                         ///
>         mtitles("OLS" "OLS" "Logit" "Logit" "Ologit" "Ologit")                                          ///
>         order(2.prc2_treat_usa ?.prc2_treat_usa *.trust_fed_num*)                                       ///
>         drop(_cons *cut*)                                                                                                                       ///
>         refcat( 2.prc2_treat_usa "\textit{c -(}State Department Cue{c )-}"                                        ///
>                         2.trust_fed_num "\textit{c -(}Trust in Fed Govt{c )-}"                                            ///
>                         2.prc2_treat_usa#2.trust_fed_num "\textit{c -(}State Cue x Trust Feds{c )-}"      ///
>                         2.prc2_treat_prc "\textit{c -(}PRC Reaction{c )-}"                                                        ///
>                         1.prc2_mancheck "\textit{c -(}Covariates{c )-}"                                                           ///
>                 , nolabel)
{res}{txt}(output written to {browse  `"~/Dropbox/0001 Academic Projects/Completed/0171 Parasecurity and Education/Replication/APPENDIX Table A11.tex"'})

{com}. 
. 
. * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * 
. *                                                                       mlogit                                                                    *
. * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * 
. 
. ****** Demographics
. 
. mlogit prc2_DV_main_trichot                                                                                                     ///
>                 i.prc2_treat_usa i.prc2_treat_prc i.prc2_mancheck                       ///
>         `demographics' `technical',     robust base(3)

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-1032.8407}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-938.35742}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-936.89529}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-936.89245}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-936.89245}  
{res}
{txt}{col 1}Multinomial logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:975}
{txt}{col 57}{lalign 13:Wald chi2({res:22})}{col 70} = {res}{ralign 6:160.83}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-936.89245}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0929}

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}      prc2_DV_main_trichot{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      z{col 60}   P>|z|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Oppose                     {txt}{c |}
{space 12}prc2_treat_usa {c |}
{space 16}Undermine  {c |}{col 28}{res}{space 2}-.1696845{col 40}{space 2} .1595984{col 51}{space 1}   -1.06{col 60}{space 3}0.288{col 68}{space 4}-.4824917{col 81}{space 3} .1431227
{txt}{space 26} {c |}
{space 12}prc2_treat_prc {c |}
{space 14}PRC Hostile  {c |}{col 28}{res}{space 2} .0893617{col 40}{space 2} .1627265{col 51}{space 1}    0.55{col 60}{space 3}0.583{col 68}{space 4}-.2295763{col 81}{space 3} .4082998
{txt}{space 26} {c |}
{space 13}prc2_mancheck {c |}
Passed manipulation check  {c |}{col 28}{res}{space 2} .5013404{col 40}{space 2} .1645284{col 51}{space 1}    3.05{col 60}{space 3}0.002{col 68}{space 4} .1788707{col 81}{space 3} .8238101
{txt}{space 23}age {c |}{col 28}{res}{space 2}-.0181234{col 40}{space 2} .0048034{col 51}{space 1}   -3.77{col 60}{space 3}0.000{col 68}{space 4}-.0275378{col 81}{space 3}-.0087089
{txt}{space 20}female {c |}{col 28}{res}{space 2} .2747581{col 40}{space 2} .1600028{col 51}{space 1}    1.72{col 60}{space 3}0.086{col 68}{space 4}-.0388417{col 81}{space 3} .5883579
{txt}{space 21}white {c |}{col 28}{res}{space 2}  -.16446{col 40}{space 2} .2051366{col 51}{space 1}   -0.80{col 60}{space 3}0.423{col 68}{space 4}-.5665204{col 81}{space 3} .2376005
{txt}{space 18}hispanic {c |}{col 28}{res}{space 2} .0599589{col 40}{space 2} .2242068{col 51}{space 1}    0.27{col 60}{space 3}0.789{col 68}{space 4}-.3794784{col 81}{space 3} .4993961
{txt}{space 19}college {c |}{col 28}{res}{space 2}  -.01102{col 40}{space 2} .1630547{col 51}{space 1}   -0.07{col 60}{space 3}0.946{col 68}{space 4}-.3306014{col 81}{space 3} .3085614
{txt}{space 26} {c |}
{space 19}pid3alt {c |}
{space 14}Independent  {c |}{col 28}{res}{space 2} .3162369{col 40}{space 2} .3084968{col 51}{space 1}    1.03{col 60}{space 3}0.305{col 68}{space 4}-.2884057{col 81}{space 3} .9208795
{txt}{space 15}Republican  {c |}{col 28}{res}{space 2}-1.497274{col 40}{space 2} .1756339{col 51}{space 1}   -8.52{col 60}{space 3}0.000{col 68}{space 4} -1.84151{col 81}{space 3}-1.153038
{txt}{space 26} {c |}
{space 20}mobile {c |}
{space 19}Mobile  {c |}{col 28}{res}{space 2}-.0934453{col 40}{space 2} .1675006{col 51}{space 1}   -0.56{col 60}{space 3}0.577{col 68}{space 4}-.4217404{col 81}{space 3} .2348499
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} 1.655419{col 40}{space 2} .3511774{col 51}{space 1}    4.71{col 60}{space 3}0.000{col 68}{space 4} .9671243{col 81}{space 3} 2.343714
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Neither                    {txt}{c |}
{space 12}prc2_treat_usa {c |}
{space 16}Undermine  {c |}{col 28}{res}{space 2}  -.11419{col 40}{space 2} .1850326{col 51}{space 1}   -0.62{col 60}{space 3}0.537{col 68}{space 4}-.4768471{col 81}{space 3} .2484672
{txt}{space 26} {c |}
{space 12}prc2_treat_prc {c |}
{space 14}PRC Hostile  {c |}{col 28}{res}{space 2}-.0289319{col 40}{space 2} .1879516{col 51}{space 1}   -0.15{col 60}{space 3}0.878{col 68}{space 4}-.3973103{col 81}{space 3} .3394465
{txt}{space 26} {c |}
{space 13}prc2_mancheck {c |}
Passed manipulation check  {c |}{col 28}{res}{space 2}-.2958409{col 40}{space 2} .1941578{col 51}{space 1}   -1.52{col 60}{space 3}0.128{col 68}{space 4}-.6763833{col 81}{space 3} .0847014
{txt}{space 23}age {c |}{col 28}{res}{space 2}-.0148741{col 40}{space 2} .0053385{col 51}{space 1}   -2.79{col 60}{space 3}0.005{col 68}{space 4}-.0253373{col 81}{space 3}-.0044109
{txt}{space 20}female {c |}{col 28}{res}{space 2} .4078368{col 40}{space 2} .1861386{col 51}{space 1}    2.19{col 60}{space 3}0.028{col 68}{space 4} .0430119{col 81}{space 3} .7726616
{txt}{space 21}white {c |}{col 28}{res}{space 2}-.1855863{col 40}{space 2}  .242364{col 51}{space 1}   -0.77{col 60}{space 3}0.444{col 68}{space 4} -.660611{col 81}{space 3} .2894385
{txt}{space 18}hispanic {c |}{col 28}{res}{space 2} -.153206{col 40}{space 2} .2685521{col 51}{space 1}   -0.57{col 60}{space 3}0.568{col 68}{space 4}-.6795584{col 81}{space 3} .3731464
{txt}{space 19}college {c |}{col 28}{res}{space 2}-.5637966{col 40}{space 2} .2138877{col 51}{space 1}   -2.64{col 60}{space 3}0.008{col 68}{space 4}-.9830087{col 81}{space 3}-.1445845
{txt}{space 26} {c |}
{space 19}pid3alt {c |}
{space 14}Independent  {c |}{col 28}{res}{space 2} 1.055556{col 40}{space 2} .3337352{col 51}{space 1}    3.16{col 60}{space 3}0.002{col 68}{space 4} .4014472{col 81}{space 3} 1.709665
{txt}{space 15}Republican  {c |}{col 28}{res}{space 2}-.7951304{col 40}{space 2} .2086149{col 51}{space 1}   -3.81{col 60}{space 3}0.000{col 68}{space 4}-1.204008{col 81}{space 3}-.3862528
{txt}{space 26} {c |}
{space 20}mobile {c |}
{space 19}Mobile  {c |}{col 28}{res}{space 2}-.0524857{col 40}{space 2} .2032332{col 51}{space 1}   -0.26{col 60}{space 3}0.796{col 68}{space 4}-.4508154{col 81}{space 3}  .345844
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} .9739147{col 40}{space 2} .3999421{col 51}{space 1}    2.44{col 60}{space 3}0.015{col 68}{space 4} .1900426{col 81}{space 3} 1.757787
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Support                   {col 28}{txt}{c |}  (base outcome)
{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. est sto prc2_m2_mlogit
{txt}
{com}. 
. 
. *** Basic Interaction, Hostile x Threat
.         
. mlogit prc2_DV_main_trichot                                                                                                                     ///
>                 i.prc2_treat_usa##i.trust_fed_num i.prc2_treat_prc              ///             
>         i.prc2_mancheck `demographics' `technical' , robust base(3)

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-1026.2433}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-921.48775}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-919.62768}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-919.62268}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-919.62268}  
{res}
{txt}{col 1}Multinomial logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:968}
{txt}{col 57}{lalign 13:Wald chi2({res:30})}{col 70} = {res}{ralign 6:175.83}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-919.62268}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.1039}

{txt}{hline 29}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 30}{c |}{col 42}    Robust
{col 1}        prc2_DV_main_trichot{col 30}{c |} Coefficient{col 42}  std. err.{col 54}      z{col 62}   P>|z|{col 70}     [95% con{col 83}f. interval]
{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Oppose                       {txt}{c |}
{space 14}prc2_treat_usa {c |}
{space 18}Undermine  {c |}{col 30}{res}{space 2}-.4508041{col 42}{space 2}  .261058{col 53}{space 1}   -1.73{col 62}{space 3}0.084{col 70}{space 4}-.9624683{col 83}{space 3} .0608601
{txt}{space 28} {c |}
{space 15}trust_fed_num {c |}
{space 19}A little  {c |}{col 30}{res}{space 2} .3119733{col 42}{space 2} .2454688{col 53}{space 1}    1.27{col 62}{space 3}0.204{col 70}{space 4}-.1691368{col 83}{space 3} .7930833
{txt}{space 22}A lot  {c |}{col 30}{res}{space 2}-.3002034{col 42}{space 2} .4022847{col 53}{space 1}   -0.75{col 62}{space 3}0.456{col 70}{space 4}-1.088667{col 83}{space 3} .4882602
{txt}{space 28} {c |}
prc2_treat_usa#trust_fed_num {c |}
{space 9}Undermine#A little  {c |}{col 30}{res}{space 2}  .285037{col 42}{space 2} .3478864{col 53}{space 1}    0.82{col 62}{space 3}0.413{col 70}{space 4}-.3968079{col 83}{space 3} .9668818
{txt}{space 12}Undermine#A lot  {c |}{col 30}{res}{space 2} .9968095{col 42}{space 2}  .536802{col 53}{space 1}    1.86{col 62}{space 3}0.063{col 70}{space 4} -.055303{col 83}{space 3} 2.048922
{txt}{space 28} {c |}
{space 14}prc2_treat_prc {c |}
{space 16}PRC Hostile  {c |}{col 30}{res}{space 2} .0974898{col 42}{space 2} .1645694{col 53}{space 1}    0.59{col 62}{space 3}0.554{col 70}{space 4}-.2250603{col 83}{space 3} .4200399
{txt}{space 28} {c |}
{space 15}prc2_mancheck {c |}
{space 2}Passed manipulation check  {c |}{col 30}{res}{space 2} .5051168{col 42}{space 2} .1679935{col 53}{space 1}    3.01{col 62}{space 3}0.003{col 70}{space 4} .1758556{col 83}{space 3}  .834378
{txt}{space 25}age {c |}{col 30}{res}{space 2}-.0194899{col 42}{space 2}  .004882{col 53}{space 1}   -3.99{col 62}{space 3}0.000{col 70}{space 4}-.0290584{col 83}{space 3}-.0099215
{txt}{space 22}female {c |}{col 30}{res}{space 2} .2592445{col 42}{space 2} .1627986{col 53}{space 1}    1.59{col 62}{space 3}0.111{col 70}{space 4}-.0598349{col 83}{space 3}  .578324
{txt}{space 23}white {c |}{col 30}{res}{space 2}-.1488124{col 42}{space 2} .2082344{col 53}{space 1}   -0.71{col 62}{space 3}0.475{col 70}{space 4}-.5569442{col 83}{space 3} .2593195
{txt}{space 20}hispanic {c |}{col 30}{res}{space 2} .0227715{col 42}{space 2} .2217354{col 53}{space 1}    0.10{col 62}{space 3}0.918{col 70}{space 4}-.4118219{col 83}{space 3}  .457365
{txt}{space 21}college {c |}{col 30}{res}{space 2}-.0134741{col 42}{space 2} .1653559{col 53}{space 1}   -0.08{col 62}{space 3}0.935{col 70}{space 4}-.3375658{col 83}{space 3} .3106176
{txt}{space 28} {c |}
{space 21}pid3alt {c |}
{space 16}Independent  {c |}{col 30}{res}{space 2}  .412271{col 42}{space 2} .3081836{col 53}{space 1}    1.34{col 62}{space 3}0.181{col 70}{space 4}-.1917576{col 83}{space 3}   1.0163
{txt}{space 17}Republican  {c |}{col 30}{res}{space 2}-1.375953{col 42}{space 2} .1812384{col 53}{space 1}   -7.59{col 62}{space 3}0.000{col 70}{space 4}-1.731174{col 83}{space 3}-1.020733
{txt}{space 28} {c |}
{space 22}mobile {c |}
{space 21}Mobile  {c |}{col 30}{res}{space 2} -.102048{col 42}{space 2} .1698953{col 53}{space 1}   -0.60{col 62}{space 3}0.548{col 70}{space 4}-.4350367{col 83}{space 3} .2309407
{txt}{space 23}_cons {c |}{col 30}{res}{space 2} 1.530156{col 42}{space 2} .3835523{col 53}{space 1}    3.99{col 62}{space 3}0.000{col 70}{space 4} .7784078{col 83}{space 3} 2.281905
{txt}{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Neither                      {txt}{c |}
{space 14}prc2_treat_usa {c |}
{space 18}Undermine  {c |}{col 30}{res}{space 2}-.4582123{col 42}{space 2} .3019689{col 53}{space 1}   -1.52{col 62}{space 3}0.129{col 70}{space 4}-1.050061{col 83}{space 3} .1336359
{txt}{space 28} {c |}
{space 15}trust_fed_num {c |}
{space 19}A little  {c |}{col 30}{res}{space 2} .3105472{col 42}{space 2} .2764959{col 53}{space 1}    1.12{col 62}{space 3}0.261{col 70}{space 4}-.2313749{col 83}{space 3} .8524692
{txt}{space 22}A lot  {c |}{col 30}{res}{space 2}-.6534044{col 42}{space 2}  .504861{col 53}{space 1}   -1.29{col 62}{space 3}0.196{col 70}{space 4}-1.642914{col 83}{space 3} .3361049
{txt}{space 28} {c |}
prc2_treat_usa#trust_fed_num {c |}
{space 9}Undermine#A little  {c |}{col 30}{res}{space 2} .5234649{col 42}{space 2} .3964508{col 53}{space 1}    1.32{col 62}{space 3}0.187{col 70}{space 4}-.2535643{col 83}{space 3} 1.300494
{txt}{space 12}Undermine#A lot  {c |}{col 30}{res}{space 2} .5380303{col 42}{space 2} .6851355{col 53}{space 1}    0.79{col 62}{space 3}0.432{col 70}{space 4}-.8048107{col 83}{space 3} 1.880871
{txt}{space 28} {c |}
{space 14}prc2_treat_prc {c |}
{space 16}PRC Hostile  {c |}{col 30}{res}{space 2}-.0374344{col 42}{space 2} .1892721{col 53}{space 1}   -0.20{col 62}{space 3}0.843{col 70}{space 4}-.4084009{col 83}{space 3}  .333532
{txt}{space 28} {c |}
{space 15}prc2_mancheck {c |}
{space 2}Passed manipulation check  {c |}{col 30}{res}{space 2}-.3317083{col 42}{space 2} .2000303{col 53}{space 1}   -1.66{col 62}{space 3}0.097{col 70}{space 4}-.7237605{col 83}{space 3}  .060344
{txt}{space 25}age {c |}{col 30}{res}{space 2}-.0155708{col 42}{space 2} .0053168{col 53}{space 1}   -2.93{col 62}{space 3}0.003{col 70}{space 4}-.0259916{col 83}{space 3}-.0051499
{txt}{space 22}female {c |}{col 30}{res}{space 2} .3504092{col 42}{space 2} .1883978{col 53}{space 1}    1.86{col 62}{space 3}0.063{col 70}{space 4}-.0188437{col 83}{space 3} .7196621
{txt}{space 23}white {c |}{col 30}{res}{space 2}-.2037399{col 42}{space 2} .2457182{col 53}{space 1}   -0.83{col 62}{space 3}0.407{col 70}{space 4}-.6853386{col 83}{space 3} .2778589
{txt}{space 20}hispanic {c |}{col 30}{res}{space 2}-.1627034{col 42}{space 2} .2696614{col 53}{space 1}   -0.60{col 62}{space 3}0.546{col 70}{space 4}-.6912301{col 83}{space 3} .3658232
{txt}{space 21}college {c |}{col 30}{res}{space 2}-.5691217{col 42}{space 2} .2169471{col 53}{space 1}   -2.62{col 62}{space 3}0.009{col 70}{space 4}-.9943302{col 83}{space 3}-.1439131
{txt}{space 28} {c |}
{space 21}pid3alt {c |}
{space 16}Independent  {c |}{col 30}{res}{space 2} 1.120289{col 42}{space 2} .3363888{col 53}{space 1}    3.33{col 62}{space 3}0.001{col 70}{space 4} .4609787{col 83}{space 3} 1.779599
{txt}{space 17}Republican  {c |}{col 30}{res}{space 2}-.6530939{col 42}{space 2} .2141854{col 53}{space 1}   -3.05{col 62}{space 3}0.002{col 70}{space 4}-1.072889{col 83}{space 3}-.2332983
{txt}{space 28} {c |}
{space 22}mobile {c |}
{space 21}Mobile  {c |}{col 30}{res}{space 2} -.061865{col 42}{space 2} .2037311{col 53}{space 1}   -0.30{col 62}{space 3}0.761{col 70}{space 4}-.4611706{col 83}{space 3} .3374406
{txt}{space 23}_cons {c |}{col 30}{res}{space 2} .9226146{col 42}{space 2} .4364301{col 53}{space 1}    2.11{col 62}{space 3}0.035{col 70}{space 4} .0672274{col 83}{space 3} 1.778002
{txt}{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Support                     {col 30}{txt}{c |}  (base outcome)
{hline 29}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto prc2_m7_mlogit
{txt}
{com}. 
. 
. esttab                  ///
>         prc2_m2_mlogit  prc2_m7_mlogit ///
>         using "${c -(}MyProject{c )-}/APPENDIX Table A12.tex"             ///
>         , nobase noomit nogap longtable lab unstack replace                                                     ///
>         star(+ 0.10 * 0.05)             se(%9.1f) b(%9.2f)                                                                      ///
>         title("Experiment 2, Multinomial Logit \label{c -(}tab:exp2mlogit{c )-}")                         ///
>                 refcat( 2.prc2_treat_usa "\textit{c -(}State Department Cue{c )-}"                                ///
>                         2.prc2_treat_prc "\textit{c -(}PRC Cue{c )-}"                                                                     ///
>                         1.threat_prc_2 "\textit{c -(}View of China Threat{c )-}"                                          ///
>                         2.prc2_treat_usa#2.trust_fed_num "\textit{c -(}State Cue x Trust Feds{c )-}"      ///
>                         2.prc2_treat_5prc "\textit{c -(}PRC Reaction"                                                        ///
>                         age "\textit{c -(}Covariates{c )-}"                                                                                       ///
>                         1.prc2_mancheck "\textit{c -(}Manipulation Check{c )-}"                                           ///
>                 , nolabel)
{res}{txt}(output written to {browse  `"~/Dropbox/0001 Academic Projects/Completed/0171 Parasecurity and Education/Replication/APPENDIX Table A12.tex"'})

{com}. 
. ********************************************************************************
. * Experiment 2: Effects DV
. ********************************************************************************
. 
. * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * 
. * OLS
. * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * 
. ****** Demographics
. 
. reg prc2_DV_effects_dichot i.prc2_treat_usa i.prc2_treat_prc                                    /// 
>         i.prc2_mancheck `demographics' `technical', robust

{txt}Linear regression                               Number of obs     = {res}       976
                                                {txt}F(11, 964)        =  {res}     6.07
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0587
                                                {txt}Root MSE          =    {res}  .4192

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}    prc2_DV_effects_dichot{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      t{col 60}   P>|t|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}prc2_treat_usa {c |}
{space 16}Undermine  {c |}{col 28}{res}{space 2} .0056125{col 40}{space 2} .0272914{col 51}{space 1}    0.21{col 60}{space 3}0.837{col 68}{space 4}-.0479449{col 81}{space 3} .0591698
{txt}{space 26} {c |}
{space 12}prc2_treat_prc {c |}
{space 14}PRC Hostile  {c |}{col 28}{res}{space 2} .0571431{col 40}{space 2} .0269949{col 51}{space 1}    2.12{col 60}{space 3}0.035{col 68}{space 4} .0041675{col 81}{space 3} .1101187
{txt}{space 26} {c |}
{space 13}prc2_mancheck {c |}
Passed manipulation check  {c |}{col 28}{res}{space 2} .1179915{col 40}{space 2} .0265417{col 51}{space 1}    4.45{col 60}{space 3}0.000{col 68}{space 4} .0659052{col 81}{space 3} .1700778
{txt}{space 23}age {c |}{col 28}{res}{space 2} -.003384{col 40}{space 2} .0008235{col 51}{space 1}   -4.11{col 60}{space 3}0.000{col 68}{space 4}-.0049999{col 81}{space 3} -.001768
{txt}{space 20}female {c |}{col 28}{res}{space 2}-.0032171{col 40}{space 2} .0266668{col 51}{space 1}   -0.12{col 60}{space 3}0.904{col 68}{space 4}-.0555488{col 81}{space 3} .0491147
{txt}{space 21}white {c |}{col 28}{res}{space 2}  .027376{col 40}{space 2} .0319586{col 51}{space 1}    0.86{col 60}{space 3}0.392{col 68}{space 4}-.0353404{col 81}{space 3} .0900924
{txt}{space 18}hispanic {c |}{col 28}{res}{space 2} .0315706{col 40}{space 2}   .03712{col 51}{space 1}    0.85{col 60}{space 3}0.395{col 68}{space 4}-.0412748{col 81}{space 3}  .104416
{txt}{space 19}college {c |}{col 28}{res}{space 2} .0422707{col 40}{space 2} .0281806{col 51}{space 1}    1.50{col 60}{space 3}0.134{col 68}{space 4}-.0130316{col 81}{space 3} .0975731
{txt}{space 26} {c |}
{space 19}pid3alt {c |}
{space 14}Independent  {c |}{col 28}{res}{space 2}-.0146851{col 40}{space 2} .0396081{col 51}{space 1}   -0.37{col 60}{space 3}0.711{col 68}{space 4}-.0924132{col 81}{space 3} .0630429
{txt}{space 15}Republican  {c |}{col 28}{res}{space 2} -.103334{col 40}{space 2} .0305445{col 51}{space 1}   -3.38{col 60}{space 3}0.001{col 68}{space 4}-.1632755{col 81}{space 3}-.0433925
{txt}{space 26} {c |}
{space 20}mobile {c |}
{space 19}Mobile  {c |}{col 28}{res}{space 2}  .001464{col 40}{space 2} .0288779{col 51}{space 1}    0.05{col 60}{space 3}0.960{col 68}{space 4}-.0552069{col 81}{space 3} .0581349
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} .8279689{col 40}{space 2} .0571015{col 51}{space 1}   14.50{col 60}{space 3}0.000{col 68}{space 4} .7159113{col 81}{space 3} .9400265
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. est sto prc2_fx_m2_ols
{txt}
{com}. 
. *** USA x Trust with Core Covariates
. 
. reg prc2_DV_effects_dichot i.prc2_treat_usa##i.trust_fed_num i.prc2_treat_prc   ///
>         i.prc2_mancheck `demographics' `technical', robust

{txt}Linear regression                               Number of obs     = {res}       969
                                                {txt}F(15, 953)        =  {res}     4.75
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0618
                                                {txt}Root MSE          =    {res} .41984

{txt}{hline 29}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 30}{c |}{col 42}    Robust
{col 1}      prc2_DV_effects_dichot{col 30}{c |} Coefficient{col 42}  std. err.{col 54}      t{col 62}   P>|t|{col 70}     [95% con{col 83}f. interval]
{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}prc2_treat_usa {c |}
{space 18}Undermine  {c |}{col 30}{res}{space 2} .0447689{col 42}{space 2} .0468756{col 53}{space 1}    0.96{col 62}{space 3}0.340{col 70}{space 4}-.0472224{col 83}{space 3} .1367602
{txt}{space 28} {c |}
{space 15}trust_fed_num {c |}
{space 19}A little  {c |}{col 30}{res}{space 2} .0656512{col 42}{space 2}  .040786{col 53}{space 1}    1.61{col 62}{space 3}0.108{col 70}{space 4}-.0143895{col 83}{space 3}  .145692
{txt}{space 22}A lot  {c |}{col 30}{res}{space 2}  .051481{col 42}{space 2} .0687567{col 53}{space 1}    0.75{col 62}{space 3}0.454{col 70}{space 4}-.0834511{col 83}{space 3} .1864131
{txt}{space 28} {c |}
prc2_treat_usa#trust_fed_num {c |}
{space 9}Undermine#A little  {c |}{col 30}{res}{space 2}-.0574498{col 42}{space 2} .0590217{col 53}{space 1}   -0.97{col 62}{space 3}0.331{col 70}{space 4}-.1732774{col 83}{space 3} .0583777
{txt}{space 12}Undermine#A lot  {c |}{col 30}{res}{space 2}-.0796668{col 42}{space 2} .0957933{col 53}{space 1}   -0.83{col 62}{space 3}0.406{col 70}{space 4}-.2676569{col 83}{space 3} .1083233
{txt}{space 28} {c |}
{space 14}prc2_treat_prc {c |}
{space 16}PRC Hostile  {c |}{col 30}{res}{space 2} .0542808{col 42}{space 2} .0270848{col 53}{space 1}    2.00{col 62}{space 3}0.045{col 70}{space 4}  .001128{col 83}{space 3} .1074337
{txt}{space 28} {c |}
{space 15}prc2_mancheck {c |}
{space 2}Passed manipulation check  {c |}{col 30}{res}{space 2}  .118268{col 42}{space 2} .0269545{col 53}{space 1}    4.39{col 62}{space 3}0.000{col 70}{space 4}  .065371{col 83}{space 3}  .171165
{txt}{space 25}age {c |}{col 30}{res}{space 2}-.0033524{col 42}{space 2} .0008228{col 53}{space 1}   -4.07{col 62}{space 3}0.000{col 70}{space 4}-.0049672{col 83}{space 3}-.0017377
{txt}{space 22}female {c |}{col 30}{res}{space 2}-.0055512{col 42}{space 2} .0267844{col 53}{space 1}   -0.21{col 62}{space 3}0.836{col 70}{space 4}-.0581145{col 83}{space 3}  .047012
{txt}{space 23}white {c |}{col 30}{res}{space 2} .0238639{col 42}{space 2} .0323135{col 53}{space 1}    0.74{col 62}{space 3}0.460{col 70}{space 4}  -.03955{col 83}{space 3} .0872778
{txt}{space 20}hispanic {c |}{col 30}{res}{space 2} .0295169{col 42}{space 2} .0370141{col 53}{space 1}    0.80{col 62}{space 3}0.425{col 70}{space 4}-.0431216{col 83}{space 3} .1021553
{txt}{space 21}college {c |}{col 30}{res}{space 2} .0409023{col 42}{space 2} .0283834{col 53}{space 1}    1.44{col 62}{space 3}0.150{col 70}{space 4} -.014799{col 83}{space 3} .0966036
{txt}{space 28} {c |}
{space 21}pid3alt {c |}
{space 16}Independent  {c |}{col 30}{res}{space 2} -.006131{col 42}{space 2} .0400789{col 53}{space 1}   -0.15{col 62}{space 3}0.878{col 70}{space 4} -.084784{col 83}{space 3} .0725221
{txt}{space 17}Republican  {c |}{col 30}{res}{space 2}-.0948947{col 42}{space 2} .0313558{col 53}{space 1}   -3.03{col 62}{space 3}0.003{col 70}{space 4}-.1564291{col 83}{space 3}-.0333603
{txt}{space 28} {c |}
{space 22}mobile {c |}
{space 21}Mobile  {c |}{col 30}{res}{space 2} .0022881{col 42}{space 2} .0290316{col 53}{space 1}    0.08{col 62}{space 3}0.937{col 70}{space 4}-.0546851{col 83}{space 3} .0592613
{txt}{space 23}_cons {c |}{col 30}{res}{space 2} .7869267{col 42}{space 2}  .061979{col 53}{space 1}   12.70{col 62}{space 3}0.000{col 70}{space 4} .6652956{col 83}{space 3} .9085577
{txt}{hline 29}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. est sto prc2_fx_m7_ols
{txt}
{com}. 
. 
. 
. ****** Demographics
. 
. logit prc2_DV_effects_dichot i.prc2_treat_usa i.prc2_treat_prc i.prc2_mancheck  i.prc2_mancheck `demographics' `technical', robust

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-542.14852}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-513.19952}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-512.53202}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-512.53107}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-512.53107}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:976}
{txt}{col 57}{lalign 13:Wald chi2({res:11})}{col 70} = {res}{ralign 6:59.33}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-512.53107}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0546}

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}    prc2_DV_effects_dichot{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      z{col 60}   P>|z|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}prc2_treat_usa {c |}
{space 16}Undermine  {c |}{col 28}{res}{space 2} .0374373{col 40}{space 2} .1567259{col 51}{space 1}    0.24{col 60}{space 3}0.811{col 68}{space 4}-.2697399{col 81}{space 3} .3446145
{txt}{space 26} {c |}
{space 12}prc2_treat_prc {c |}
{space 14}PRC Hostile  {c |}{col 28}{res}{space 2}  .340492{col 40}{space 2} .1558369{col 51}{space 1}    2.18{col 60}{space 3}0.029{col 68}{space 4} .0350573{col 81}{space 3} .6459268
{txt}{space 26} {c |}
{space 13}prc2_mancheck {c |}
Passed manipulation check  {c |}{col 28}{res}{space 2} .6944425{col 40}{space 2} .1572805{col 51}{space 1}    4.42{col 60}{space 3}0.000{col 68}{space 4} .3861784{col 81}{space 3} 1.002707
{txt}{space 23}age {c |}{col 28}{res}{space 2}-.0195468{col 40}{space 2} .0047374{col 51}{space 1}   -4.13{col 60}{space 3}0.000{col 68}{space 4} -.028832{col 81}{space 3}-.0102616
{txt}{space 20}female {c |}{col 28}{res}{space 2}-.0148457{col 40}{space 2} .1542955{col 51}{space 1}   -0.10{col 60}{space 3}0.923{col 68}{space 4}-.3172593{col 81}{space 3} .2875679
{txt}{space 21}white {c |}{col 28}{res}{space 2} .1813776{col 40}{space 2} .1942699{col 51}{space 1}    0.93{col 60}{space 3}0.350{col 68}{space 4}-.1993844{col 81}{space 3} .5621396
{txt}{space 18}hispanic {c |}{col 28}{res}{space 2} .2009486{col 40}{space 2} .2425102{col 51}{space 1}    0.83{col 60}{space 3}0.407{col 68}{space 4}-.2743627{col 81}{space 3} .6762599
{txt}{space 19}college {c |}{col 28}{res}{space 2} .2601982{col 40}{space 2} .1681182{col 51}{space 1}    1.55{col 60}{space 3}0.122{col 68}{space 4}-.0693074{col 81}{space 3} .5897038
{txt}{space 26} {c |}
{space 19}pid3alt {c |}
{space 14}Independent  {c |}{col 28}{res}{space 2}-.1021624{col 40}{space 2} .2528141{col 51}{space 1}   -0.40{col 60}{space 3}0.686{col 68}{space 4}-.5976689{col 81}{space 3} .3933441
{txt}{space 15}Republican  {c |}{col 28}{res}{space 2}-.5842017{col 40}{space 2}  .170227{col 51}{space 1}   -3.43{col 60}{space 3}0.001{col 68}{space 4}-.9178405{col 81}{space 3}-.2505628
{txt}{space 26} {c |}
{space 20}mobile {c |}
{space 19}Mobile  {c |}{col 28}{res}{space 2} .0109659{col 40}{space 2} .1657514{col 51}{space 1}    0.07{col 60}{space 3}0.947{col 68}{space 4}-.3139008{col 81}{space 3} .3358326
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} 1.589632{col 40}{space 2} .3298365{col 51}{space 1}    4.82{col 60}{space 3}0.000{col 68}{space 4} .9431643{col 81}{space 3}   2.2361
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. est sto prc2_fx_m2_logit
{txt}
{com}. 
. 
. *** USA x Trust with Core Covariates
. logit prc2_DV_effects_dichot i.prc2_treat_usa##i.trust_fed_num i.prc2_treat_prc ///
>         i.prc2_mancheck `demographics'  `technical', robust

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-539.05882}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-508.80397}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-508.07312}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-508.07196}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-508.07196}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:969}
{txt}{col 57}{lalign 13:Wald chi2({res:15})}{col 70} = {res}{ralign 6:63.09}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-508.07196}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0575}

{txt}{hline 29}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 30}{c |}{col 42}    Robust
{col 1}      prc2_DV_effects_dichot{col 30}{c |} Coefficient{col 42}  std. err.{col 54}      z{col 62}   P>|z|{col 70}     [95% con{col 83}f. interval]
{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}prc2_treat_usa {c |}
{space 18}Undermine  {c |}{col 30}{res}{space 2}  .263882{col 42}{space 2}  .246818{col 53}{space 1}    1.07{col 62}{space 3}0.285{col 70}{space 4}-.2198725{col 83}{space 3} .7476365
{txt}{space 28} {c |}
{space 15}trust_fed_num {c |}
{space 19}A little  {c |}{col 30}{res}{space 2} .3786275{col 42}{space 2} .2298211{col 53}{space 1}    1.65{col 62}{space 3}0.099{col 70}{space 4}-.0718136{col 83}{space 3} .8290686
{txt}{space 22}A lot  {c |}{col 30}{res}{space 2} .2791395{col 42}{space 2} .3965325{col 53}{space 1}    0.70{col 62}{space 3}0.481{col 70}{space 4}  -.49805{col 83}{space 3} 1.056329
{txt}{space 28} {c |}
prc2_treat_usa#trust_fed_num {c |}
{space 9}Undermine#A little  {c |}{col 30}{res}{space 2}-.3589041{col 42}{space 2} .3327434{col 53}{space 1}   -1.08{col 62}{space 3}0.281{col 70}{space 4}-1.011069{col 83}{space 3}  .293261
{txt}{space 12}Undermine#A lot  {c |}{col 30}{res}{space 2}-.4559394{col 42}{space 2} .5306178{col 53}{space 1}   -0.86{col 62}{space 3}0.390{col 70}{space 4}-1.495931{col 83}{space 3} .5840524
{txt}{space 28} {c |}
{space 14}prc2_treat_prc {c |}
{space 16}PRC Hostile  {c |}{col 30}{res}{space 2} .3227724{col 42}{space 2} .1563207{col 53}{space 1}    2.06{col 62}{space 3}0.039{col 70}{space 4} .0163895{col 83}{space 3} .6291553
{txt}{space 28} {c |}
{space 15}prc2_mancheck {c |}
{space 2}Passed manipulation check  {c |}{col 30}{res}{space 2} .6995559{col 42}{space 2} .1596397{col 53}{space 1}    4.38{col 62}{space 3}0.000{col 70}{space 4} .3866678{col 83}{space 3} 1.012444
{txt}{space 25}age {c |}{col 30}{res}{space 2}-.0193651{col 42}{space 2} .0047189{col 53}{space 1}   -4.10{col 62}{space 3}0.000{col 70}{space 4} -.028614{col 83}{space 3}-.0101162
{txt}{space 22}female {c |}{col 30}{res}{space 2}-.0306597{col 42}{space 2} .1548943{col 53}{space 1}   -0.20{col 62}{space 3}0.843{col 70}{space 4}-.3342469{col 83}{space 3} .2729275
{txt}{space 23}white {c |}{col 30}{res}{space 2} .1578186{col 42}{space 2} .1973705{col 53}{space 1}    0.80{col 62}{space 3}0.424{col 70}{space 4}-.2290205{col 83}{space 3} .5446576
{txt}{space 20}hispanic {c |}{col 30}{res}{space 2} .1895043{col 42}{space 2} .2407128{col 53}{space 1}    0.79{col 62}{space 3}0.431{col 70}{space 4}-.2822842{col 83}{space 3} .6612928
{txt}{space 21}college {c |}{col 30}{res}{space 2} .2503877{col 42}{space 2} .1689768{col 53}{space 1}    1.48{col 62}{space 3}0.138{col 70}{space 4}-.0808008{col 83}{space 3} .5815762
{txt}{space 28} {c |}
{space 21}pid3alt {c |}
{space 16}Independent  {c |}{col 30}{res}{space 2}-.0491622{col 42}{space 2} .2559044{col 53}{space 1}   -0.19{col 62}{space 3}0.848{col 70}{space 4}-.5507256{col 83}{space 3} .4524013
{txt}{space 17}Republican  {c |}{col 30}{res}{space 2}-.5386111{col 42}{space 2} .1756899{col 53}{space 1}   -3.07{col 62}{space 3}0.002{col 70}{space 4}-.8829569{col 83}{space 3}-.1942653
{txt}{space 28} {c |}
{space 22}mobile {c |}
{space 21}Mobile  {c |}{col 30}{res}{space 2} .0130902{col 42}{space 2} .1660798{col 53}{space 1}    0.08{col 62}{space 3}0.937{col 70}{space 4}-.3124202{col 83}{space 3} .3386007
{txt}{space 23}_cons {c |}{col 30}{res}{space 2} 1.371966{col 42}{space 2} .3504827{col 53}{space 1}    3.91{col 62}{space 3}0.000{col 70}{space 4} .6850322{col 83}{space 3} 2.058899
{txt}{hline 29}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. est sto prc2_fx_m7_logit
{txt}
{com}. 
. 
. ****** Demographics
. 
. ologit prc2_DV_effects i.prc2_treat_usa i.prc2_treat_prc i.prc2_mancheck                ///
>         `demographics' `technical', robust

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-1148.6116}  
Iteration 1:{space 2}Log pseudolikelihood = {res: -1104.477}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-1103.9103}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-1103.9096}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-1103.9096}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:976}
{txt}{col 57}{lalign 13:Wald chi2({res:11})}{col 70} = {res}{ralign 6:89.68}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-1103.9096}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0389}

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}           prc2_DV_effects{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      z{col 60}   P>|z|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}prc2_treat_usa {c |}
{space 16}Undermine  {c |}{col 28}{res}{space 2} .1791843{col 40}{space 2} .1249779{col 51}{space 1}    1.43{col 60}{space 3}0.152{col 68}{space 4}-.0657679{col 81}{space 3} .4241366
{txt}{space 26} {c |}
{space 12}prc2_treat_prc {c |}
{space 14}PRC Hostile  {c |}{col 28}{res}{space 2} .2317572{col 40}{space 2} .1225023{col 51}{space 1}    1.89{col 60}{space 3}0.059{col 68}{space 4}-.0083428{col 81}{space 3} .4718572
{txt}{space 26} {c |}
{space 13}prc2_mancheck {c |}
Passed manipulation check  {c |}{col 28}{res}{space 2} .5320336{col 40}{space 2} .1219284{col 51}{space 1}    4.36{col 60}{space 3}0.000{col 68}{space 4} .2930583{col 81}{space 3}  .771009
{txt}{space 23}age {c |}{col 28}{res}{space 2}-.0224583{col 40}{space 2} .0037065{col 51}{space 1}   -6.06{col 60}{space 3}0.000{col 68}{space 4}-.0297229{col 81}{space 3}-.0151938
{txt}{space 20}female {c |}{col 28}{res}{space 2} .0184509{col 40}{space 2} .1224022{col 51}{space 1}    0.15{col 60}{space 3}0.880{col 68}{space 4}-.2214531{col 81}{space 3} .2583549
{txt}{space 21}white {c |}{col 28}{res}{space 2}-.0128123{col 40}{space 2} .1721374{col 51}{space 1}   -0.07{col 60}{space 3}0.941{col 68}{space 4}-.3501955{col 81}{space 3} .3245709
{txt}{space 18}hispanic {c |}{col 28}{res}{space 2}  .204359{col 40}{space 2} .1845094{col 51}{space 1}    1.11{col 60}{space 3}0.268{col 68}{space 4}-.1572727{col 81}{space 3} .5659907
{txt}{space 19}college {c |}{col 28}{res}{space 2}  .081145{col 40}{space 2} .1231152{col 51}{space 1}    0.66{col 60}{space 3}0.510{col 68}{space 4}-.1601563{col 81}{space 3} .3224463
{txt}{space 26} {c |}
{space 19}pid3alt {c |}
{space 14}Independent  {c |}{col 28}{res}{space 2} .0915611{col 40}{space 2} .2088547{col 51}{space 1}    0.44{col 60}{space 3}0.661{col 68}{space 4}-.3177867{col 81}{space 3} .5009088
{txt}{space 15}Republican  {c |}{col 28}{res}{space 2}-.5686097{col 40}{space 2} .1368325{col 51}{space 1}   -4.16{col 60}{space 3}0.000{col 68}{space 4}-.8367964{col 81}{space 3} -.300423
{txt}{space 26} {c |}
{space 20}mobile {c |}
{space 19}Mobile  {c |}{col 28}{res}{space 2}-.0221225{col 40}{space 2} .1260015{col 51}{space 1}   -0.18{col 60}{space 3}0.861{col 68}{space 4}-.2690809{col 81}{space 3} .2248359
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}/cut1 {c |}{col 28}{res}{space 2} -5.21264{col 40}{space 2} .3926049{col 68}{space 4}-5.982132{col 81}{space 3}-4.443149
{txt}{space 21}/cut2 {c |}{col 28}{res}{space 2} -3.82247{col 40}{space 2} .3172449{col 68}{space 4}-4.444258{col 81}{space 3}-3.200681
{txt}{space 21}/cut3 {c |}{col 28}{res}{space 2}-1.979335{col 40}{space 2} .2798495{col 68}{space 4} -2.52783{col 81}{space 3} -1.43084
{txt}{space 21}/cut4 {c |}{col 28}{res}{space 2}  .532683{col 40}{space 2} .2716349{col 68}{space 4} .0002884{col 81}{space 3} 1.065078
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. est sto prc2_fx_m2_ologit
{txt}
{com}. 
. 
. *** USA x Trust with Core Covariates
. 
. ologit prc2_DV_effects i.prc2_treat_usa##i.trust_fed_num i.prc2_treat_prc               ///
>         i.prc2_mancheck `demographics' `technical', robust

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-1142.2663}  
Iteration 1:{space 2}Log pseudolikelihood = {res: -1097.881}  
Iteration 2:{space 2}Log pseudolikelihood = {res: -1097.307}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-1097.3063}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-1097.3063}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:969}
{txt}{col 57}{lalign 13:Wald chi2({res:15})}{col 70} = {res}{ralign 6:94.01}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-1097.3063}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0394}

{txt}{hline 29}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 30}{c |}{col 42}    Robust
{col 1}             prc2_DV_effects{col 30}{c |} Coefficient{col 42}  std. err.{col 54}      z{col 62}   P>|z|{col 70}     [95% con{col 83}f. interval]
{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}prc2_treat_usa {c |}
{space 18}Undermine  {c |}{col 30}{res}{space 2} .2203958{col 42}{space 2}  .206048{col 53}{space 1}    1.07{col 62}{space 3}0.285{col 70}{space 4}-.1834508{col 83}{space 3} .6242425
{txt}{space 28} {c |}
{space 15}trust_fed_num {c |}
{space 19}A little  {c |}{col 30}{res}{space 2} .0656574{col 42}{space 2} .1797058{col 53}{space 1}    0.37{col 62}{space 3}0.715{col 70}{space 4}-.2865595{col 83}{space 3} .4178742
{txt}{space 22}A lot  {c |}{col 30}{res}{space 2}-.0097705{col 42}{space 2} .3198727{col 53}{space 1}   -0.03{col 62}{space 3}0.976{col 70}{space 4}-.6367094{col 83}{space 3} .6171684
{txt}{space 28} {c |}
prc2_treat_usa#trust_fed_num {c |}
{space 9}Undermine#A little  {c |}{col 30}{res}{space 2}-.1407062{col 42}{space 2} .2615161{col 53}{space 1}   -0.54{col 62}{space 3}0.591{col 70}{space 4}-.6532684{col 83}{space 3}  .371856
{txt}{space 12}Undermine#A lot  {c |}{col 30}{res}{space 2} .2252853{col 42}{space 2} .4875136{col 53}{space 1}    0.46{col 62}{space 3}0.644{col 70}{space 4}-.7302239{col 83}{space 3} 1.180794
{txt}{space 28} {c |}
{space 14}prc2_treat_prc {c |}
{space 16}PRC Hostile  {c |}{col 30}{res}{space 2} .2155274{col 42}{space 2} .1229295{col 53}{space 1}    1.75{col 62}{space 3}0.080{col 70}{space 4}  -.02541{col 83}{space 3} .4564649
{txt}{space 28} {c |}
{space 15}prc2_mancheck {c |}
{space 2}Passed manipulation check  {c |}{col 30}{res}{space 2} .5499142{col 42}{space 2} .1244175{col 53}{space 1}    4.42{col 62}{space 3}0.000{col 70}{space 4} .3060604{col 83}{space 3}  .793768
{txt}{space 25}age {c |}{col 30}{res}{space 2}-.0226084{col 42}{space 2} .0037313{col 53}{space 1}   -6.06{col 62}{space 3}0.000{col 70}{space 4}-.0299216{col 83}{space 3}-.0152952
{txt}{space 22}female {c |}{col 30}{res}{space 2} .0257739{col 42}{space 2} .1225364{col 53}{space 1}    0.21{col 62}{space 3}0.833{col 70}{space 4} -.214393{col 83}{space 3} .2659407
{txt}{space 23}white {c |}{col 30}{res}{space 2}-.0110238{col 42}{space 2} .1728736{col 53}{space 1}   -0.06{col 62}{space 3}0.949{col 70}{space 4}-.3498498{col 83}{space 3} .3278022
{txt}{space 20}hispanic {c |}{col 30}{res}{space 2} .2070911{col 42}{space 2} .1854447{col 53}{space 1}    1.12{col 62}{space 3}0.264{col 70}{space 4}-.1563738{col 83}{space 3}  .570556
{txt}{space 21}college {c |}{col 30}{res}{space 2} .0791964{col 42}{space 2} .1245838{col 53}{space 1}    0.64{col 62}{space 3}0.525{col 70}{space 4}-.1649834{col 83}{space 3} .3233762
{txt}{space 28} {c |}
{space 21}pid3alt {c |}
{space 16}Independent  {c |}{col 30}{res}{space 2} .1064079{col 42}{space 2} .2104449{col 53}{space 1}    0.51{col 62}{space 3}0.613{col 70}{space 4}-.3060566{col 83}{space 3} .5188724
{txt}{space 17}Republican  {c |}{col 30}{res}{space 2}-.5541306{col 42}{space 2} .1393715{col 53}{space 1}   -3.98{col 62}{space 3}0.000{col 70}{space 4}-.8272938{col 83}{space 3}-.2809674
{txt}{space 28} {c |}
{space 22}mobile {c |}
{space 21}Mobile  {c |}{col 30}{res}{space 2}-.0147182{col 42}{space 2} .1266158{col 53}{space 1}   -0.12{col 62}{space 3}0.907{col 70}{space 4}-.2628807{col 83}{space 3} .2334443
{txt}{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 23}/cut1 {c |}{col 30}{res}{space 2}-5.162106{col 42}{space 2} .4010236{col 70}{space 4}-5.948098{col 83}{space 3}-4.376115
{txt}{space 23}/cut2 {c |}{col 30}{res}{space 2}-3.772374{col 42}{space 2} .3292953{col 70}{space 4}-4.417781{col 83}{space 3}-3.126967
{txt}{space 23}/cut3 {c |}{col 30}{res}{space 2} -1.93321{col 42}{space 2}  .300947{col 70}{space 4}-2.523055{col 83}{space 3}-1.343365
{txt}{space 23}/cut4 {c |}{col 30}{res}{space 2} .5737076{col 42}{space 2} .2950205{col 70}{space 4} -.004522{col 83}{space 3} 1.151937
{txt}{hline 29}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. est sto prc2_fx_m7_ologit
{txt}
{com}. 
. 
. 
. esttab                                                                                                                                                  ///
>         prc2_fx_m2_ols  prc2_fx_m7_ols                                                                                          ///
>         prc2_fx_m2_logit  prc2_fx_m7_logit                                                                                      /// 
>         prc2_fx_m2_ologit prc2_fx_m7_ologit                                                                                     ///
>                 using "${c -(}MyProject{c )-}/APPENDIX Table A13.tex"     ///
>         , replace longtable lab noomit nobase  nogap                                                            ///
>         se(%9.1f) b(%9.1f)      star(+ 0.10 * 0.051)                                                                    ///
>         nonotes addnote(Robust standard errors in parantheses)                                          ///
>         varwidth(40)                                                                                                                            ///
>         title("Experiment 2 Evaluation Results \label{c -(}tab:exp2fx{c )-}")                             ///
>         mtitles("OLS" "OLS" "Logit" "Logit" "Ologit" "Ologit")                                          ///
>         order(2.prc2_treat_prc 2.prc2_treat_usa 1.threat_prc_2                                          ///
>                         2.prc2_treat_prc#1.threat_prc_2)                                                                        ///
>         drop(_cons cut*)                                                                        ///
>         refcat( 2.prc2_treat_usa "\textit{c -(}State Department Cue{c )-}"                                        ///
>                         1.threat_prc_2 "\textit{c -(}View of China Threat{c )-}"                                          ///
>                         2.prc2_treat_usa#2.trust_fed_num "\textit{c -(}State Cue x Trust Feds{c )-}"      ///
>                         2.prc2_treat_5prc "\textit{c -(}PRC Reaction"                                                        ///
>                         1.prc2_mancheck "\textit{c -(}Covariates{c )-}"                                                           ///
>                 , nolabel)
{res}{txt}(output written to {browse  `"~/Dropbox/0001 Academic Projects/Completed/0171 Parasecurity and Education/Replication/APPENDIX Table A13.tex"'})

{com}. 
.                 
. ***  Mediation
. 
. clonevar prc2_treat_prc_med = prc2_treat_prc
{txt}(1,260 missing values generated)

{com}. recode prc2_treat_prc_med (1=0) (2=1)
{txt}(1,158 changes made to {bf:prc2_treat_prc_med})

{com}. lab def prc2_treat_prclab2 0 "No Stance" 1 "PRC Hostile"
{txt}
{com}. lab val prc2_treat_prc_med prc2_treat_prclab2
{txt}
{com}. 
. mediate (prc2_DV_main i.prc2_treat_usa##i.trust_fed_num         ///             
>         i.prc2_mancheck age female white hispanic college i.pid3alt i.mobile)           ///
>         (prc2_DV_effects_dichot) ///
>         (prc2_treat_prc_med)
{res}
{txt}Iteration 0:{space 2}EE criterion = {res: 1.657e-29}  
Iteration 1:{space 2}EE criterion = {res: 3.557e-32}  
{res}
{txt}{col 1}Causal mediation analysis{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:968}

{txt}Outcome model:{col 20}Linear
Mediator model:{col 20}Linear
Mediator variable:{res}{col 20}prc2_DV_effects_dichot
{txt}Treatment type:{col 20}Binary
{res}{txt}{hline 44}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 45}{c |}{col 57}    Robust
{col 1}                               prc2_DV_main{col 45}{c |} Coefficient{col 57}  std. err.{col 69}      z{col 77}   P>|z|{col 85}     [95% con{col 98}f. interval]
{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}NIE                                         {txt}{c |}
{space 25}prc2_treat_prc_med {c |}
{space 16}(PRC Hostile vs No Stance)  {c |}{col 45}{res}{space 2}-.0258216{col 57}{space 2} .0174737{col 68}{space 1}   -1.48{col 77}{space 3}0.139{col 85}{space 4}-.0600693{col 98}{space 3} .0084262
{txt}{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}NDE                                         {txt}{c |}
{space 25}prc2_treat_prc_med {c |}
{space 16}(PRC Hostile vs No Stance)  {c |}{col 45}{res}{space 2}-.0186714{col 57}{space 2} .0814083{col 68}{space 1}   -0.23{col 77}{space 3}0.819{col 85}{space 4}-.1782288{col 98}{space 3}  .140886
{txt}{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TE                                          {txt}{c |}
{space 25}prc2_treat_prc_med {c |}
{space 16}(PRC Hostile vs No Stance)  {c |}{col 45}{res}{space 2} -.044493{col 57}{space 2} .0819264{col 68}{space 1}   -0.54{col 77}{space 3}0.587{col 85}{space 4}-.2050658{col 98}{space 3} .1160799
{txt}{hline 44}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p}Note: Outcome equation includes treatment{ch_endash}mediator interaction.{p_end}

{com}. 
. 
.                 
. ********************************************************************************
. * Experiment 2: Subsidiary DVs
. ********************************************************************************
. 
. 
. ***** Discriminates: "The bill unfairly discriminates against people"
. ***** harmuni: "The bill would harm universities"
. ***** protectusa: "The bill would protect the U.S. against a threat"
. ***** science: "Science should be open and international"
. ***** screening: "There should be a rigorous screening process for foreign researchers rather than a complete ban"
. ***** America 1st: "U.S. universities should be for Americans first"
. 
. foreach var in                                                                                                                                  ///
>                                         discriminates                                                                                           ///
>                                         harmuni                                                                                                         ///
>                                         protectusa                                                                                                      ///
>                                         science                                                                                                         ///
>                                         screening                                                                                                       ///
>                                         america1st                                                                                                      ///
>                         {c -(}
{txt}  2{com}.                                 clonevar prc2_`var'_100 = prc2_`var'_num
{txt}  3{com}.                                 replace prc2_`var'_100 = 100*prc2_`var'_100
{txt}  4{com}.                                 
.                         {c )-}
{txt}(1,260 missing values generated)
(421 real changes made)
(1,260 missing values generated)
(331 real changes made)
(1,260 missing values generated)
(300 real changes made)
(1,260 missing values generated)
(408 real changes made)
(1,260 missing values generated)
(506 real changes made)
(1,260 missing values generated)
(257 real changes made)

{com}. 
.                 
. statplot ///
>                 prc2_screening_100                                                                                                              ///
>                 prc2_discriminates_100                                                                                                  ///
>                 prc2_science_100                                                                                                                ///
>                 prc2_harmuni_100                                                                                                                ///
>                 prc2_protectusa_100                                                                                                     ///
>                 prc2_america1st_100                                                                                                             ///
>                 , name(gph_prc2_subsidifary, replace)                                                                   ///
>                 title("Respondents' view of statements (Exp 2)")                                                ///
>                 ytitle("Average percent agreeing")                                                      
{res}{txt}
{com}. 
. gr export "${c -(}MyProject{c )-}/APPENDIX Figure A4.pdf", replace
{txt}{p 0 4 2}
file {bf}
~/Dropbox/0001 Academic Projects/Completed/0171 Parasecurity and Education/Replication/APPENDIX Figure A4.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
. 
. foreach var in                                                                                                                                  ///
>                                         discriminates                                                                                           ///
>                                         harmuni                                                                                                         ///
>                                         protectusa                                                                                                      ///
>                                         science                                                                                                         ///
>                                         screening                                                                                                       ///
>                                         america1st                                                                                                      ///
>                         {c -(}
{txt}  2{com}. 
.                                 local demographics i. prc2_mancheck age female white hispanic college i.pid3alt
{txt}  3{com}. 
.                                 local technical i.mobile 
{txt}  4{com}.                         
. 
.                         *OLS
.                                 quietly: reg prc2_`var'_num i.prc2_treat_usa i.prc2_treat_prc   ///
>                                                         , robust
{txt}  5{com}.                                 est sto prc2_`var'_m0_ols
{txt}  6{com}.                                 
.                                 quietly: reg prc2_`var'_num i.prc2_treat_usa i.prc2_treat_prc   ///
>                                                 `demographics' `technical' , robust
{txt}  7{com}.                                 est sto prc2_`var'_m2_ols
{txt}  8{com}.                                 
.                                 quietly: reg prc2_`var'_num i.prc2_treat_usa##i.trust_fed_num   ///
>                                 i.prc2_treat_prc                ///
>                                 i.prc2_mancheck `demographics' `technical', robust
{txt}  9{com}.                                         est sto prc2_`var'_m7_ols
{txt} 10{com}.                         
.                                 quietly: reg prc2_`var'_num     i.prc2_treat_usa##i.trust_fed_num       ///
>                                                                         i.prc2_treat_prc##i.threat_prc_2  ///
>                                                                         `demographics' `technical', robust
{txt} 11{com}.                                 est sto prc2_`var'_m8_ols
{txt} 12{com}.                                 
.                                 quietly: reg prc2_`var'_num     i.prc2_treat_usa##i.threat_prc_2        ///
>                                                                         i.prc2_treat_prc##i.threat_prc_2  ///
>                                                                         `demographics' `technical', robust
{txt} 13{com}.                                 est sto prc2_`var'_m9_ols                       
{txt} 14{com}.                                         
.                         {c )-}
{txt}
{com}. 
.                                 
. esttab ///
>         prc2_discriminates_m2_ols prc2_harmuni_m2_ols prc2_science_m2_ols                       ///
>         prc2_protectusa_m2_ols prc2_america1st_m2_ols prc2_screening_m2_ols                     ///
>         using "${c -(}MyProject{c )-}/APPENDIX Table A14.tex"             ///
>         , replace lab noomit nobase nogap interaction(" x ") longtable                                  ///
>         varwidth(30)    se(%9.1f) b(%9.1f)      star(+ 0.10 * 0.051)                                    ///
>         compress                                                                        ///
>         refcat( 2.prc2_treat_usa "\textit{c -(}State Department Cue{c )-}"                                        ///
>                         2.prc2_treat_prc "\textit{c -(}PRC Cue{c )-}"                                                                     ///
>                         1.threat_prc_2 "\textit{c -(}View of China Threat{c )-}"                                          ///
>                         2.prc2_treat_usa#2.trust_fed_num "\textit{c -(}State Cue x Trust Feds{c )-}"      ///
>                         2.prc2_treat_5prc "\textit{c -(}PRC Reaction"                                                        ///
>                         age "\textit{c -(}Covariates{c )-}"                                                               ///
>                         1.prc2_mancheck "\textit{c -(}Manipulation Check{c )-}"                                                           ///
>                 , nolabel) ///
>         title("Models of Subsidiary DVs with Demographics \label{c -(}tab:exp2subsidiary{c )-}")                          
{res}{txt}(output written to {browse  `"~/Dropbox/0001 Academic Projects/Completed/0171 Parasecurity and Education/Replication/APPENDIX Table A14.tex"'})

{com}.                         
.                         
.         
. ********************************************************************************
. *                                                       Experiment 2: Het Effects                                                  *
. ********************************************************************************
. 
. *** Flo Rida (Florida) *********************************************************
. 
. reg prc2_DV_main_dichot ///
>                         i.prc2_treat_usa##florida                               ///
>                         i.prc2_treat_prc##florida                                ///
>                         i.prc2_mancheck mobile age  white hispanic college i.pid3alt            ///
>                         , robust

{txt}Linear regression                               Number of obs     = {res}       977
                                                {txt}F(13, 963)        =  {res}    11.82
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1309
                                                {txt}Root MSE          =    {res} .43889

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}       prc2_DV_main_dichot{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      t{col 60}   P>|t|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}prc2_treat_usa {c |}
{space 16}Undermine  {c |}{col 28}{res}{space 2} .0259588{col 40}{space 2} .0292203{col 51}{space 1}    0.89{col 60}{space 3}0.375{col 68}{space 4} -.031384{col 81}{space 3} .0833016
{txt}{space 26} {c |}
{space 19}florida {c |}
{space 18}Florida  {c |}{col 28}{res}{space 2} .0203163{col 40}{space 2} .0874962{col 51}{space 1}    0.23{col 60}{space 3}0.816{col 68}{space 4}-.1513889{col 81}{space 3} .1920215
{txt}{space 26} {c |}
{space 4}prc2_treat_usa#florida {c |}
{space 8}Undermine#Florida  {c |}{col 28}{res}{space 2} .0367676{col 40}{space 2} .1150244{col 51}{space 1}    0.32{col 60}{space 3}0.749{col 68}{space 4}-.1889597{col 81}{space 3} .2624949
{txt}{space 26} {c |}
{space 12}prc2_treat_prc {c |}
{space 14}PRC Hostile  {c |}{col 28}{res}{space 2}-.0050764{col 40}{space 2} .0298349{col 51}{space 1}   -0.17{col 60}{space 3}0.865{col 68}{space 4}-.0636253{col 81}{space 3} .0534726
{txt}{space 26} {c |}
{space 4}prc2_treat_prc#florida {c |}
{space 6}PRC Hostile#Florida  {c |}{col 28}{res}{space 2} -.039467{col 40}{space 2} .1094163{col 51}{space 1}   -0.36{col 60}{space 3}0.718{col 68}{space 4}-.2541888{col 81}{space 3} .1752548
{txt}{space 26} {c |}
{space 13}prc2_mancheck {c |}
Passed manipulation check  {c |}{col 28}{res}{space 2}-.0428028{col 40}{space 2}   .02884{col 51}{space 1}   -1.48{col 60}{space 3}0.138{col 68}{space 4}-.0993992{col 81}{space 3} .0137937
{txt}{space 20}mobile {c |}{col 28}{res}{space 2} .0129471{col 40}{space 2} .0301783{col 51}{space 1}    0.43{col 60}{space 3}0.668{col 68}{space 4}-.0462758{col 81}{space 3} .0721699
{txt}{space 23}age {c |}{col 28}{res}{space 2} .0031526{col 40}{space 2} .0008318{col 51}{space 1}    3.79{col 60}{space 3}0.000{col 68}{space 4} .0015203{col 81}{space 3}  .004785
{txt}{space 21}white {c |}{col 28}{res}{space 2} .0273002{col 40}{space 2} .0337461{col 51}{space 1}    0.81{col 60}{space 3}0.419{col 68}{space 4}-.0389243{col 81}{space 3} .0935246
{txt}{space 18}hispanic {c |}{col 28}{res}{space 2}-.0008073{col 40}{space 2} .0393464{col 51}{space 1}   -0.02{col 60}{space 3}0.984{col 68}{space 4}-.0780219{col 81}{space 3} .0764074
{txt}{space 19}college {c |}{col 28}{res}{space 2} .0427243{col 40}{space 2} .0300692{col 51}{space 1}    1.42{col 60}{space 3}0.156{col 68}{space 4}-.0162844{col 81}{space 3} .1017331
{txt}{space 26} {c |}
{space 19}pid3alt {c |}
{space 14}Independent  {c |}{col 28}{res}{space 2}-.0774586{col 40}{space 2} .0366935{col 51}{space 1}   -2.11{col 60}{space 3}0.035{col 68}{space 4} -.149467{col 81}{space 3}-.0054501
{txt}{space 15}Republican  {c |}{col 28}{res}{space 2} .2741373{col 40}{space 2} .0332045{col 51}{space 1}    8.26{col 60}{space 3}0.000{col 68}{space 4} .2089758{col 81}{space 3} .3392988
{txt}{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2} .0420349{col 40}{space 2}  .057906{col 51}{space 1}    0.73{col 60}{space 3}0.468{col 68}{space 4}-.0716016{col 81}{space 3} .1556715
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                         
.         est sto exp2_florida
{txt}
{com}. 
. coefplot                                                                                                                                                ///
>         exp2_florida                                                                                                                            ///
>         , keep(*prc2_treat* *.florida* *.florida*)      xline(0)                                                ///
>         title("{c -(}it:Florida Residence{c )-}")                                                                                         ///
>                 coeflabels(, interaction(" x ") labsize(vsmall))                                                ///
>         name(g_exp2_florida, replace)           
{res}{txt}
{com}.                 
. 
. 
. *** Gender *********************************************************************
. 
.         reg prc2_DV_main_dichot ///
>                         i.prc2_treat_usa##female ///
>                         i.prc2_treat_prc##female                        ///
>                         i.prc2_mancheck mobile age  white hispanic college i.pid3alt            ///
>                         , robust

{txt}Linear regression                               Number of obs     = {res}       975
                                                {txt}F(13, 961)        =  {res}    12.20
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1345
                                                {txt}Root MSE          =    {res} .43823

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}       prc2_DV_main_dichot{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      t{col 60}   P>|t|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}prc2_treat_usa {c |}
{space 16}Undermine  {c |}{col 28}{res}{space 2} .0289676{col 40}{space 2} .0408281{col 51}{space 1}    0.71{col 60}{space 3}0.478{col 68}{space 4}-.0511548{col 81}{space 3} .1090901
{txt}{space 26} {c |}
{space 20}female {c |}
{space 19}Female  {c |}{col 28}{res}{space 2}-.0521317{col 40}{space 2}  .048913{col 51}{space 1}   -1.07{col 60}{space 3}0.287{col 68}{space 4}-.1481203{col 81}{space 3} .0438569
{txt}{space 26} {c |}
{space 5}prc2_treat_usa#female {c |}
{space 9}Undermine#Female  {c |}{col 28}{res}{space 2} .0016302{col 40}{space 2} .0570083{col 51}{space 1}    0.03{col 60}{space 3}0.977{col 68}{space 4}-.1102449{col 81}{space 3} .1135054
{txt}{space 26} {c |}
{space 12}prc2_treat_prc {c |}
{space 14}PRC Hostile  {c |}{col 28}{res}{space 2} .0017461{col 40}{space 2} .0404229{col 51}{space 1}    0.04{col 60}{space 3}0.966{col 68}{space 4}-.0775813{col 81}{space 3} .0810735
{txt}{space 26} {c |}
{space 5}prc2_treat_prc#female {c |}
{space 7}PRC Hostile#Female  {c |}{col 28}{res}{space 2} -.021457{col 40}{space 2} .0562249{col 51}{space 1}   -0.38{col 60}{space 3}0.703{col 68}{space 4}-.1317947{col 81}{space 3} .0888808
{txt}{space 26} {c |}
{space 13}prc2_mancheck {c |}
Passed manipulation check  {c |}{col 28}{res}{space 2}-.0445826{col 40}{space 2} .0289318{col 51}{space 1}   -1.54{col 60}{space 3}0.124{col 68}{space 4}-.1013594{col 81}{space 3} .0121941
{txt}{space 20}mobile {c |}{col 28}{res}{space 2}  .015856{col 40}{space 2} .0302398{col 51}{space 1}    0.52{col 60}{space 3}0.600{col 68}{space 4}-.0434877{col 81}{space 3} .0751998
{txt}{space 23}age {c |}{col 28}{res}{space 2} .0032817{col 40}{space 2} .0008303{col 51}{space 1}    3.95{col 60}{space 3}0.000{col 68}{space 4} .0016522{col 81}{space 3} .0049111
{txt}{space 21}white {c |}{col 28}{res}{space 2} .0280563{col 40}{space 2} .0335901{col 51}{space 1}    0.84{col 60}{space 3}0.404{col 68}{space 4}-.0378621{col 81}{space 3} .0939748
{txt}{space 18}hispanic {c |}{col 28}{res}{space 2} .0003574{col 40}{space 2} .0386146{col 51}{space 1}    0.01{col 60}{space 3}0.993{col 68}{space 4}-.0754213{col 81}{space 3} .0761361
{txt}{space 19}college {c |}{col 28}{res}{space 2} .0372563{col 40}{space 2} .0299368{col 51}{space 1}    1.24{col 60}{space 3}0.214{col 68}{space 4}-.0214927{col 81}{space 3} .0960053
{txt}{space 26} {c |}
{space 19}pid3alt {c |}
{space 14}Independent  {c |}{col 28}{res}{space 2}-.0755937{col 40}{space 2} .0370754{col 51}{space 1}   -2.04{col 60}{space 3}0.042{col 68}{space 4}-.1483517{col 81}{space 3}-.0028356
{txt}{space 15}Republican  {c |}{col 28}{res}{space 2} .2739191{col 40}{space 2} .0329019{col 51}{space 1}    8.33{col 60}{space 3}0.000{col 68}{space 4} .2093513{col 81}{space 3} .3384868
{txt}{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2} .0638587{col 40}{space 2} .0626109{col 51}{space 1}    1.02{col 60}{space 3}0.308{col 68}{space 4}-.0590112{col 81}{space 3} .1867286
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                         
.         est sto exp2_female
{txt}
{com}. 
. 
. coefplot                                                                                                                                                ///
>         exp2_female                                                                                                                                     ///
>         , xline(0)      keep(*prc2_treat* *.florida*)                                                                   ///
>         name(g_female, replace)                                                                                                         ///
>                 coeflabels(, interaction(" x ") labsize(vsmall))                                                ///
>         title("{c -(}it:Gender{c )-}")            
{res}{txt}
{com}. 
. 
. *** Degree *********************************************************************
. 
. reg prc2_DV_main_dichot ///
>                         i.prc2_treat_usa##college               ///
>                         i.prc2_treat_prc##college                               ///
>                         i.prc2_mancheck mobile age female white hispanic  i.pid3alt                     ///
>                         , robust

{txt}Linear regression                               Number of obs     = {res}       975
                                                {txt}F(13, 961)        =  {res}    12.32
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1348
                                                {txt}Root MSE          =    {res} .43815

{txt}{hline 32}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 33}{c |}{col 45}    Robust
{col 1}            prc2_DV_main_dichot{col 33}{c |} Coefficient{col 45}  std. err.{col 57}      t{col 65}   P>|t|{col 73}     [95% con{col 86}f. interval]
{hline 32}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}prc2_treat_usa {c |}
{space 21}Undermine  {c |}{col 33}{res}{space 2} .0433737{col 45}{space 2} .0355157{col 56}{space 1}    1.22{col 65}{space 3}0.222{col 73}{space 4}-.0263236{col 86}{space 3}  .113071
{txt}{space 31} {c |}
{space 24}college {c |}
{space 12}Has College Degree  {c |}{col 33}{res}{space 2} .0472215{col 45}{space 2} .0503555{col 56}{space 1}    0.94{col 65}{space 3}0.349{col 73}{space 4} -.051598{col 86}{space 3}  .146041
{txt}{space 31} {c |}
{space 9}prc2_treat_usa#college {c |}
{space 2}Undermine#Has College Degree  {c |}{col 33}{res}{space 2}-.0391249{col 45}{space 2} .0587804{col 56}{space 1}   -0.67{col 65}{space 3}0.506{col 73}{space 4}-.1544776{col 86}{space 3} .0762278
{txt}{space 31} {c |}
{space 17}prc2_treat_prc {c |}
{space 19}PRC Hostile  {c |}{col 33}{res}{space 2}-.0140994{col 45}{space 2} .0360679{col 56}{space 1}   -0.39{col 65}{space 3}0.696{col 73}{space 4}-.0848804{col 86}{space 3} .0566816
{txt}{space 31} {c |}
{space 9}prc2_treat_prc#college {c |}
PRC Hostile#Has College Degree  {c |}{col 33}{res}{space 2}  .016264{col 45}{space 2} .0583354{col 56}{space 1}    0.28{col 65}{space 3}0.780{col 73}{space 4}-.0982153{col 86}{space 3} .1307434
{txt}{space 31} {c |}
{space 18}prc2_mancheck {c |}
{space 5}Passed manipulation check  {c |}{col 33}{res}{space 2}-.0434628{col 45}{space 2} .0289856{col 56}{space 1}   -1.50{col 65}{space 3}0.134{col 73}{space 4}-.1003452{col 86}{space 3} .0134196
{txt}{space 25}mobile {c |}{col 33}{res}{space 2} .0164777{col 45}{space 2} .0301145{col 56}{space 1}    0.55{col 65}{space 3}0.584{col 73}{space 4}-.0426201{col 86}{space 3} .0755754
{txt}{space 28}age {c |}{col 33}{res}{space 2} .0033018{col 45}{space 2} .0008273{col 56}{space 1}    3.99{col 65}{space 3}0.000{col 73}{space 4} .0016783{col 86}{space 3} .0049252
{txt}{space 25}female {c |}{col 33}{res}{space 2}-.0625184{col 45}{space 2} .0280806{col 56}{space 1}   -2.23{col 65}{space 3}0.026{col 73}{space 4}-.1176248{col 86}{space 3} -.007412
{txt}{space 26}white {c |}{col 33}{res}{space 2} .0269308{col 45}{space 2} .0336331{col 56}{space 1}    0.80{col 65}{space 3}0.423{col 73}{space 4}-.0390719{col 86}{space 3} .0929336
{txt}{space 23}hispanic {c |}{col 33}{res}{space 2}-.0003821{col 45}{space 2} .0386434{col 56}{space 1}   -0.01{col 65}{space 3}0.992{col 73}{space 4}-.0762173{col 86}{space 3} .0754531
{txt}{space 31} {c |}
{space 24}pid3alt {c |}
{space 19}Independent  {c |}{col 33}{res}{space 2}-.0752341{col 45}{space 2} .0367852{col 56}{space 1}   -2.05{col 65}{space 3}0.041{col 73}{space 4}-.1474228{col 86}{space 3}-.0030455
{txt}{space 20}Republican  {c |}{col 33}{res}{space 2} .2750493{col 45}{space 2}  .032919{col 56}{space 1}    8.36{col 65}{space 3}0.000{col 73}{space 4} .2104478{col 86}{space 3} .3396508
{txt}{space 31} {c |}
{space 26}_cons {c |}{col 33}{res}{space 2}  .063061{col 45}{space 2} .0608584{col 56}{space 1}    1.04{col 65}{space 3}0.300{col 73}{space 4}-.0563696{col 86}{space 3} .1824917
{txt}{hline 32}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         est sto exp2_college
{txt}
{com}. 
. coefplot                                                                                                                                                ///
>         exp2_college                                                                                                                            ///
>         , keep(*prc2_treat* *.college* *.college*)      xline(0)                                                ///
>         name(g_college, replace)                                                                                                        ///
>                 coeflabels(, interaction(" x ") labsize(vsmall))                                                ///
>         title("{c -(}it:Education{c )-}")         
{res}{txt}
{com}. 
. 
. *** Man Check ******************************************************************
. 
. reg prc2_DV_main_dichot ///
>                         i.prc2_treat_usa##prc2_mancheck         ///
>                         i.prc2_treat_prc##prc2_mancheck                 ///
>                         i.prc2_mancheck mobile age female white hispanic college b2.pid3alt             ///
>                         , robust

{txt}Linear regression                               Number of obs     = {res}       975
                                                {txt}F(13, 961)        =  {res}    12.48
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1352
                                                {txt}Root MSE          =    {res} .43806

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 40}{c |}{col 52}    Robust
{col 1}                   prc2_DV_main_dichot{col 40}{c |} Coefficient{col 52}  std. err.{col 64}      t{col 72}   P>|t|{col 80}     [95% con{col 93}f. interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}prc2_treat_usa {c |}
{space 28}Undermine  {c |}{col 40}{res}{space 2} .0074583{col 52}{space 2} .0393038{col 63}{space 1}    0.19{col 72}{space 3}0.850{col 80}{space 4}-.0696729{col 93}{space 3} .0845894
{txt}{space 38} {c |}
{space 25}prc2_mancheck {c |}
{space 12}Passed manipulation check  {c |}{col 40}{res}{space 2}-.0792432{col 52}{space 2} .0492472{col 63}{space 1}   -1.61{col 72}{space 3}0.108{col 80}{space 4}-.1758877{col 93}{space 3} .0174013
{txt}{space 38} {c |}
{space 10}prc2_treat_usa#prc2_mancheck {c |}
{space 2}Undermine#Passed manipulation check  {c |}{col 40}{res}{space 2} .0488998{col 52}{space 2} .0565023{col 63}{space 1}    0.87{col 72}{space 3}0.387{col 80}{space 4}-.0619823{col 93}{space 3} .1597819
{txt}{space 38} {c |}
{space 24}prc2_treat_prc {c |}
{space 26}PRC Hostile  {c |}{col 40}{res}{space 2}-.0183122{col 52}{space 2} .0403006{col 63}{space 1}   -0.45{col 72}{space 3}0.650{col 80}{space 4}-.0973995{col 93}{space 3} .0607752
{txt}{space 38} {c |}
{space 10}prc2_treat_prc#prc2_mancheck {c |}
PRC Hostile#Passed manipulation check  {c |}{col 40}{res}{space 2} .0230142{col 52}{space 2} .0577412{col 63}{space 1}    0.40{col 72}{space 3}0.690{col 80}{space 4}-.0902992{col 93}{space 3} .1363276
{txt}{space 38} {c |}
{space 32}mobile {c |}{col 40}{res}{space 2} .0174323{col 52}{space 2} .0301572{col 63}{space 1}    0.58{col 72}{space 3}0.563{col 80}{space 4}-.0417492{col 93}{space 3} .0766138
{txt}{space 35}age {c |}{col 40}{res}{space 2} .0033176{col 52}{space 2} .0008258{col 63}{space 1}    4.02{col 72}{space 3}0.000{col 80}{space 4} .0016971{col 93}{space 3} .0049381
{txt}{space 32}female {c |}{col 40}{res}{space 2}-.0628566{col 52}{space 2} .0281255{col 63}{space 1}   -2.23{col 72}{space 3}0.026{col 80}{space 4}-.1180512{col 93}{space 3}-.0076621
{txt}{space 33}white {c |}{col 40}{res}{space 2} .0288978{col 52}{space 2} .0335545{col 63}{space 1}    0.86{col 72}{space 3}0.389{col 80}{space 4}-.0369507{col 93}{space 3} .0947463
{txt}{space 30}hispanic {c |}{col 40}{res}{space 2}-.0001537{col 52}{space 2} .0386822{col 63}{space 1}   -0.00{col 72}{space 3}0.997{col 80}{space 4}-.0760651{col 93}{space 3} .0757577
{txt}{space 31}college {c |}{col 40}{res}{space 2} .0358191{col 52}{space 2} .0300476{col 63}{space 1}    1.19{col 72}{space 3}0.234{col 80}{space 4}-.0231473{col 93}{space 3} .0947855
{txt}{space 38} {c |}
{space 31}pid3alt {c |}
{space 29}Democrat  {c |}{col 40}{res}{space 2} -.273896{col 52}{space 2}  .033027{col 63}{space 1}   -8.29{col 72}{space 3}0.000{col 80}{space 4}-.3387095{col 93}{space 3}-.2090826
{txt}{space 26}Independent  {c |}{col 40}{res}{space 2}-.3489555{col 52}{space 2} .0401763{col 63}{space 1}   -8.69{col 72}{space 3}0.000{col 80}{space 4}-.4277989{col 93}{space 3}-.2701121
{txt}{space 38} {c |}
{space 33}_cons {c |}{col 40}{res}{space 2} .3565745{col 52}{space 2} .0666782{col 63}{space 1}    5.35{col 72}{space 3}0.000{col 80}{space 4} .2257229{col 93}{space 3} .4874261
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                         
.         est sto exp2_mancheck
{txt}
{com}. 
. coefplot                                                                                                                                        ///
>         exp2_mancheck                                                                                                                   ///
>         , keep(*.prc2* )        xline(0)                                                                                        ///
>         name(g_mancheck, replace)                                                                                               ///
>                 coeflabels(, interaction(" x ") labsize(vsmall))                                        ///
>         title("{c -(}it:Manipulation Check{c )-}")        
{res}{txt}
{com}. 
. *** Mobile *******************************************************************
. 
. reg prc2_DV_main_dichot ///
>                 i.prc2_treat_usa##mobile ///
>                 i.prc2_treat_prc##mobile ///
>                 i.prc2_mancheck mobile age female white hispanic college i.pid3alt ///
>                 , robust
{txt}{p 0 6 2}note: {bf:mobile} omitted because of collinearity.{p_end}

Linear regression                               Number of obs     = {res}       975
                                                {txt}F(13, 961)        =  {res}    12.87
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1380
                                                {txt}Root MSE          =    {res} .43733

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}       prc2_DV_main_dichot{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      t{col 60}   P>|t|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}prc2_treat_usa {c |}
{space 16}Undermine  {c |}{col 28}{res}{space 2} .0311198{col 40}{space 2} .0472319{col 51}{space 1}    0.66{col 60}{space 3}0.510{col 68}{space 4}-.0615697{col 81}{space 3} .1238093
{txt}{space 26} {c |}
{space 20}mobile {c |}
{space 19}Mobile  {c |}{col 28}{res}{space 2}-.0418611{col 40}{space 2} .0522166{col 51}{space 1}   -0.80{col 60}{space 3}0.423{col 68}{space 4}-.1443328{col 81}{space 3} .0606107
{txt}{space 26} {c |}
{space 5}prc2_treat_usa#mobile {c |}
{space 9}Undermine#Mobile  {c |}{col 28}{res}{space 2}-.0015715{col 40}{space 2} .0588829{col 51}{space 1}   -0.03{col 60}{space 3}0.979{col 68}{space 4}-.1171255{col 81}{space 3} .1139824
{txt}{space 26} {c |}
{space 12}prc2_treat_prc {c |}
{space 14}PRC Hostile  {c |}{col 28}{res}{space 2}-.0856354{col 40}{space 2} .0474957{col 51}{space 1}   -1.80{col 60}{space 3}0.072{col 68}{space 4}-.1788427{col 81}{space 3} .0075719
{txt}{space 26} {c |}
{space 5}prc2_treat_prc#mobile {c |}
{space 7}PRC Hostile#Mobile  {c |}{col 28}{res}{space 2} .1189658{col 40}{space 2} .0587176{col 51}{space 1}    2.03{col 60}{space 3}0.043{col 68}{space 4} .0037362{col 81}{space 3} .2341953
{txt}{space 26} {c |}
{space 13}prc2_mancheck {c |}
Passed manipulation check  {c |}{col 28}{res}{space 2}-.0432901{col 40}{space 2} .0288342{col 51}{space 1}   -1.50{col 60}{space 3}0.134{col 68}{space 4}-.0998754{col 81}{space 3} .0132952
{txt}{space 20}mobile {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}age {c |}{col 28}{res}{space 2}  .003249{col 40}{space 2} .0008255{col 51}{space 1}    3.94{col 60}{space 3}0.000{col 68}{space 4} .0016289{col 81}{space 3}  .004869
{txt}{space 20}female {c |}{col 28}{res}{space 2}-.0604925{col 40}{space 2} .0281401{col 51}{space 1}   -2.15{col 60}{space 3}0.032{col 68}{space 4}-.1157156{col 81}{space 3}-.0052694
{txt}{space 21}white {c |}{col 28}{res}{space 2} .0312815{col 40}{space 2} .0335088{col 51}{space 1}    0.93{col 60}{space 3}0.351{col 68}{space 4}-.0344773{col 81}{space 3} .0970402
{txt}{space 18}hispanic {c |}{col 28}{res}{space 2} .0020457{col 40}{space 2} .0385017{col 51}{space 1}    0.05{col 60}{space 3}0.958{col 68}{space 4}-.0735114{col 81}{space 3} .0776028
{txt}{space 19}college {c |}{col 28}{res}{space 2} .0402375{col 40}{space 2} .0298786{col 51}{space 1}    1.35{col 60}{space 3}0.178{col 68}{space 4}-.0183974{col 81}{space 3} .0988724
{txt}{space 26} {c |}
{space 19}pid3alt {c |}
{space 14}Independent  {c |}{col 28}{res}{space 2}-.0774104{col 40}{space 2} .0368027{col 51}{space 1}   -2.10{col 60}{space 3}0.036{col 68}{space 4}-.1496334{col 81}{space 3}-.0051874
{txt}{space 15}Republican  {c |}{col 28}{res}{space 2} .2744615{col 40}{space 2} .0328101{col 51}{space 1}    8.37{col 60}{space 3}0.000{col 68}{space 4} .2100738{col 81}{space 3} .3388491
{txt}{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2} .1019185{col 40}{space 2} .0654281{col 51}{space 1}    1.56{col 60}{space 3}0.120{col 68}{space 4}-.0264799{col 81}{space 3} .2303169
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est sto exp2_mobile
{txt}
{com}. 
. coefplot                                                                                                                                                ///
>         exp2_mobile                                                                                                                             ///
>         , keep(*prc2_treat* *.mobile* *.mobile*) xline(0)                                                       ///
>         title("{c -(}it:Mobile Device{c )-}")                                                                                             ///
>                 coeflabels(, interaction(" x ") labsize(vsmall))                                        ///
>         name(g_exp2_mobile, replace)
{res}{txt}
{com}. 
.         
. *** Race ***********************************************************************
. 
. reg prc2_DV_main_dichot ///
>                 i.prc2_treat_usa##honky ///
>                 i.prc2_treat_prc##honky ///
>                 i.prc2_mancheck mobile age female college i.pid3alt ///
>                 , robust

{txt}Linear regression                               Number of obs     = {res}       986
                                                {txt}F(12, 973)        =  {res}    13.64
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1338
                                                {txt}Root MSE          =    {res} .43793

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}       prc2_DV_main_dichot{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      t{col 60}   P>|t|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}prc2_treat_usa {c |}
{space 16}Undermine  {c |}{col 28}{res}{space 2} .0645629{col 40}{space 2} .0449349{col 51}{space 1}    1.44{col 60}{space 3}0.151{col 68}{space 4}-.0236175{col 81}{space 3} .1527434
{txt}{space 26} {c |}
{space 21}honky {c |}
{space 15}White Only  {c |}{col 28}{res}{space 2} .0398607{col 40}{space 2} .0507105{col 51}{space 1}    0.79{col 60}{space 3}0.432{col 68}{space 4}-.0596539{col 81}{space 3} .1393754
{txt}{space 26} {c |}
{space 6}prc2_treat_usa#honky {c |}
{space 5}Undermine#White Only  {c |}{col 28}{res}{space 2}-.0495339{col 40}{space 2} .0574386{col 51}{space 1}   -0.86{col 60}{space 3}0.389{col 68}{space 4}-.1622517{col 81}{space 3} .0631838
{txt}{space 26} {c |}
{space 12}prc2_treat_prc {c |}
{space 14}PRC Hostile  {c |}{col 28}{res}{space 2}-.0109339{col 40}{space 2} .0452427{col 51}{space 1}   -0.24{col 60}{space 3}0.809{col 68}{space 4}-.0997185{col 81}{space 3} .0778506
{txt}{space 26} {c |}
{space 6}prc2_treat_prc#honky {c |}
{space 3}PRC Hostile#White Only  {c |}{col 28}{res}{space 2} .0051268{col 40}{space 2} .0573703{col 51}{space 1}    0.09{col 60}{space 3}0.929{col 68}{space 4} -.107457{col 81}{space 3} .1177105
{txt}{space 26} {c |}
{space 13}prc2_mancheck {c |}
Passed manipulation check  {c |}{col 28}{res}{space 2}-.0470891{col 40}{space 2} .0287806{col 51}{space 1}   -1.64{col 60}{space 3}0.102{col 68}{space 4}-.1035682{col 81}{space 3}   .00939
{txt}{space 20}mobile {c |}{col 28}{res}{space 2} .0153185{col 40}{space 2} .0299243{col 51}{space 1}    0.51{col 60}{space 3}0.609{col 68}{space 4}-.0434051{col 81}{space 3} .0740421
{txt}{space 23}age {c |}{col 28}{res}{space 2}    .0033{col 40}{space 2}  .000822{col 51}{space 1}    4.01{col 60}{space 3}0.000{col 68}{space 4} .0016869{col 81}{space 3} .0049132
{txt}{space 20}female {c |}{col 28}{res}{space 2}-.0666001{col 40}{space 2} .0278657{col 51}{space 1}   -2.39{col 60}{space 3}0.017{col 68}{space 4}-.1212839{col 81}{space 3}-.0119163
{txt}{space 19}college {c |}{col 28}{res}{space 2} .0448222{col 40}{space 2} .0299455{col 51}{space 1}    1.50{col 60}{space 3}0.135{col 68}{space 4}-.0139431{col 81}{space 3} .1035875
{txt}{space 26} {c |}
{space 19}pid3alt {c |}
{space 14}Independent  {c |}{col 28}{res}{space 2}-.0724752{col 40}{space 2} .0361993{col 51}{space 1}   -2.00{col 60}{space 3}0.046{col 68}{space 4}-.1435129{col 81}{space 3}-.0014374
{txt}{space 15}Republican  {c |}{col 28}{res}{space 2} .2744446{col 40}{space 2} .0326512{col 51}{space 1}    8.41{col 60}{space 3}0.000{col 68}{space 4} .2103697{col 81}{space 3} .3385194
{txt}{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2} .0624569{col 40}{space 2} .0613163{col 51}{space 1}    1.02{col 60}{space 3}0.309{col 68}{space 4}-.0578706{col 81}{space 3} .1827844
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est sto exp2_honky
{txt}
{com}. 
. coefplot                                                                                                                                                ///
>         exp2_honky                                                                                                                                      ///
>         , keep(*prc2_treat* *.honky* *.honky*) xline(0)                                                         ///
>         title("{c -(}it:Race{c )-}")                                                                                                                      ///
>                 coeflabels(, interaction(" x ") labsize(vsmall))                                        ///
>         name(g_exp2_honky, replace)     
{res}{txt}
{com}. 
. 
. *** PID ***********************************************************************
. 
. reg prc2_DV_main_dichot ///
>                 i.prc2_treat_usa##i.pid3alt ///
>                 i.prc2_treat_prc##i.pid3alt ///
>                 i.prc2_mancheck mobile age female white hispanic college ///
>                 if pid3alt == 0 | pid3alt == 2 ///
>                 , robust

{txt}Linear regression                               Number of obs     = {res}       851
                                                {txt}F(12, 838)        =  {res}    10.54
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1219
                                                {txt}Root MSE          =    {res}  .4508

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}       prc2_DV_main_dichot{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      t{col 60}   P>|t|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}prc2_treat_usa {c |}
{space 16}Undermine  {c |}{col 28}{res}{space 2} .0475878{col 40}{space 2} .0385521{col 51}{space 1}    1.23{col 60}{space 3}0.217{col 68}{space 4}-.0280822{col 81}{space 3} .1232579
{txt}{space 26} {c |}
{space 19}pid3alt {c |}
{space 15}Republican  {c |}{col 28}{res}{space 2} .3037671{col 40}{space 2} .0564387{col 51}{space 1}    5.38{col 60}{space 3}0.000{col 68}{space 4} .1929893{col 81}{space 3}  .414545
{txt}{space 26} {c |}
{space 4}prc2_treat_usa#pid3alt {c |}
{space 5}Undermine#Republican  {c |}{col 28}{res}{space 2}-.0311456{col 40}{space 2} .0630024{col 51}{space 1}   -0.49{col 60}{space 3}0.621{col 68}{space 4}-.1548066{col 81}{space 3} .0925154
{txt}{space 26} {c |}
{space 12}prc2_treat_prc {c |}
{space 14}PRC Hostile  {c |}{col 28}{res}{space 2}-.0004334{col 40}{space 2} .0397801{col 51}{space 1}   -0.01{col 60}{space 3}0.991{col 68}{space 4}-.0785137{col 81}{space 3} .0776469
{txt}{space 26} {c |}
{space 4}prc2_treat_prc#pid3alt {c |}
{space 3}PRC Hostile#Republican  {c |}{col 28}{res}{space 2}-.0261015{col 40}{space 2} .0630181{col 51}{space 1}   -0.41{col 60}{space 3}0.679{col 68}{space 4}-.1497934{col 81}{space 3} .0975903
{txt}{space 26} {c |}
{space 13}prc2_mancheck {c |}
Passed manipulation check  {c |}{col 28}{res}{space 2}-.0448071{col 40}{space 2} .0320999{col 51}{space 1}   -1.40{col 60}{space 3}0.163{col 68}{space 4}-.1078127{col 81}{space 3} .0181986
{txt}{space 20}mobile {c |}{col 28}{res}{space 2} .0206461{col 40}{space 2} .0331724{col 51}{space 1}    0.62{col 60}{space 3}0.534{col 68}{space 4}-.0444645{col 81}{space 3} .0857568
{txt}{space 23}age {c |}{col 28}{res}{space 2}  .003618{col 40}{space 2} .0009111{col 51}{space 1}    3.97{col 60}{space 3}0.000{col 68}{space 4} .0018297{col 81}{space 3} .0054062
{txt}{space 20}female {c |}{col 28}{res}{space 2} -.071685{col 40}{space 2} .0310308{col 51}{space 1}   -2.31{col 60}{space 3}0.021{col 68}{space 4}-.1325922{col 81}{space 3}-.0107777
{txt}{space 21}white {c |}{col 28}{res}{space 2}  .025543{col 40}{space 2} .0369028{col 51}{space 1}    0.69{col 60}{space 3}0.489{col 68}{space 4}-.0468897{col 81}{space 3} .0979758
{txt}{space 18}hispanic {c |}{col 28}{res}{space 2} .0210973{col 40}{space 2} .0432847{col 51}{space 1}    0.49{col 60}{space 3}0.626{col 68}{space 4}-.0638618{col 81}{space 3} .1060564
{txt}{space 19}college {c |}{col 28}{res}{space 2}  .044064{col 40}{space 2} .0324269{col 51}{space 1}    1.36{col 60}{space 3}0.175{col 68}{space 4}-.0195834{col 81}{space 3} .1077114
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}  .037543{col 40}{space 2} .0676803{col 51}{space 1}    0.55{col 60}{space 3}0.579{col 68}{space 4}-.0952998{col 81}{space 3} .1703859
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est sto exp2_pid3
{txt}
{com}. 
. coefplot                                                                                                                                                ///
>         exp2_pid3                                                                                                                                       ///
>         , keep(*prc2_treat* *.pid3alt* *.pid3alt*) xline(0)                                             ///
>         title("{c -(}it:Party ID{c )-}")                                                                                                          ///
>                 coeflabels(, interaction(" x ") labsize(vsmall))                                        ///
>         name(g_exp2_pid3, replace)              
{res}{txt}
{com}. 
. 
. *** Threat *********************************************************************
. 
. reg prc2_DV_main_dichot ///
>                 i.prc2_treat_usa##i.threat_prc_num ///
>                 i.prc2_treat_prc##i.threat_prc_num ///
>                 i.prc2_mancheck mobile age female white hispanic college i.pid3alt ///
>                 , robust

{txt}Linear regression                               Number of obs     = {res}       968
                                                {txt}F(17, 950)        =  {res}    14.15
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1601
                                                {txt}Root MSE          =    {res} .43343

{txt}{hline 30}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 31}{c |}{col 43}    Robust
{col 1}          prc2_DV_main_dichot{col 31}{c |} Coefficient{col 43}  std. err.{col 55}      t{col 63}   P>|t|{col 71}     [95% con{col 84}f. interval]
{hline 30}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}prc2_treat_usa {c |}
{space 19}Undermine  {c |}{col 31}{res}{space 2}-.2348741{col 43}{space 2} .1016203{col 54}{space 1}   -2.31{col 63}{space 3}0.021{col 71}{space 4}-.4343003{col 84}{space 3}-.0354479
{txt}{space 29} {c |}
{space 15}threat_prc_num {c |}
{space 14}A minor threat  {c |}{col 31}{res}{space 2}-.2001326{col 43}{space 2} .1104954{col 54}{space 1}   -1.81{col 63}{space 3}0.070{col 71}{space 4}-.4169757{col 84}{space 3} .0167106
{txt}{space 14}A major threat  {c |}{col 31}{res}{space 2}  .006585{col 43}{space 2}  .110045{col 54}{space 1}    0.06{col 63}{space 3}0.952{col 71}{space 4}-.2093743{col 84}{space 3} .2225444
{txt}{space 29} {c |}
prc2_treat_usa#threat_prc_num {c |}
{space 4}Undermine#A minor threat  {c |}{col 31}{res}{space 2} .3278151{col 43}{space 2} .1099615{col 54}{space 1}    2.98{col 63}{space 3}0.003{col 71}{space 4} .1120195{col 84}{space 3} .5436107
{txt}{space 4}Undermine#A major threat  {c |}{col 31}{res}{space 2} .2530834{col 43}{space 2} .1084618{col 54}{space 1}    2.33{col 63}{space 3}0.020{col 71}{space 4}  .040231{col 84}{space 3} .4659358
{txt}{space 29} {c |}
{space 15}prc2_treat_prc {c |}
{space 17}PRC Hostile  {c |}{col 31}{res}{space 2}-.0552457{col 43}{space 2} .1135669{col 54}{space 1}   -0.49{col 63}{space 3}0.627{col 71}{space 4}-.2781167{col 84}{space 3} .1676252
{txt}{space 29} {c |}
prc2_treat_prc#threat_prc_num {c |}
{space 2}PRC Hostile#A minor threat  {c |}{col 31}{res}{space 2} .1012099{col 43}{space 2}  .120935{col 54}{space 1}    0.84{col 63}{space 3}0.403{col 71}{space 4}-.1361207{col 84}{space 3} .3385404
{txt}{space 2}PRC Hostile#A major threat  {c |}{col 31}{res}{space 2} .0196726{col 43}{space 2} .1197346{col 54}{space 1}    0.16{col 63}{space 3}0.870{col 71}{space 4}-.2153022{col 84}{space 3} .2546475
{txt}{space 29} {c |}
{space 16}prc2_mancheck {c |}
{space 3}Passed manipulation check  {c |}{col 31}{res}{space 2}-.0509784{col 43}{space 2} .0287377{col 54}{space 1}   -1.77{col 63}{space 3}0.076{col 71}{space 4}-.1073752{col 84}{space 3} .0054184
{txt}{space 23}mobile {c |}{col 31}{res}{space 2} .0203062{col 43}{space 2} .0298119{col 54}{space 1}    0.68{col 63}{space 3}0.496{col 71}{space 4}-.0381985{col 84}{space 3}  .078811
{txt}{space 26}age {c |}{col 31}{res}{space 2} .0025608{col 43}{space 2} .0008476{col 54}{space 1}    3.02{col 63}{space 3}0.003{col 71}{space 4} .0008975{col 84}{space 3} .0042241
{txt}{space 23}female {c |}{col 31}{res}{space 2}-.0663869{col 43}{space 2} .0278357{col 54}{space 1}   -2.38{col 63}{space 3}0.017{col 71}{space 4}-.1210135{col 84}{space 3}-.0117604
{txt}{space 24}white {c |}{col 31}{res}{space 2} .0366898{col 43}{space 2} .0333751{col 54}{space 1}    1.10{col 63}{space 3}0.272{col 71}{space 4}-.0288077{col 84}{space 3} .1021872
{txt}{space 21}hispanic {c |}{col 31}{res}{space 2}-.0006029{col 43}{space 2} .0378204{col 54}{space 1}   -0.02{col 63}{space 3}0.987{col 71}{space 4}-.0748241{col 84}{space 3} .0736184
{txt}{space 22}college {c |}{col 31}{res}{space 2} .0370522{col 43}{space 2}    .0298{col 54}{space 1}    1.24{col 63}{space 3}0.214{col 71}{space 4}-.0214293{col 84}{space 3} .0955336
{txt}{space 29} {c |}
{space 22}pid3alt {c |}
{space 17}Independent  {c |}{col 31}{res}{space 2}-.0726917{col 43}{space 2} .0364409{col 54}{space 1}   -1.99{col 63}{space 3}0.046{col 71}{space 4}-.1442056{col 84}{space 3}-.0011777
{txt}{space 18}Republican  {c |}{col 31}{res}{space 2}  .256603{col 43}{space 2} .0336705{col 54}{space 1}    7.62{col 63}{space 3}0.000{col 71}{space 4} .1905258{col 84}{space 3} .3226802
{txt}{space 29} {c |}
{space 24}_cons {c |}{col 31}{res}{space 2} .1662809{col 43}{space 2} .1139482{col 54}{space 1}    1.46{col 63}{space 3}0.145{col 71}{space 4}-.0573383{col 84}{space 3} .3899002
{txt}{hline 30}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est sto exp2_threat
{txt}
{com}. 
. coefplot                                                                                                                                                ///
>         exp2_threat                                                                                                                             ///
>         , keep(*prc2_treat* *.threat_prc_num* *.threat_prc_num*) xline(0)                       ///
>         title("{c -(}it:Threat{c )-}")                                                                                                            ///
>                 coeflabels(, interaction(" x ") labsize(vsmall))                                        ///
>         name(g_exp2_threat, replace)    
{res}{txt}
{com}. 
. 
. 
. * Combining them        
. gr combine g_exp2_florida g_female g_college g_mancheck                                                 ///
>         g_exp2_mobile g_exp2_honky g_exp2_pid3 g_exp2_threat                                            ///
>         , rows(4) xsize(8) ysize(12) imargins(tiny)
{res}{txt}
{com}. 
. gr export "${c -(}MyProject{c )-}/APPENDIX Figure A3.pdf", replace
{txt}{p 0 4 2}
file {bf}
~/Dropbox/0001 Academic Projects/Completed/0171 Parasecurity and Education/Replication/APPENDIX Figure A3.pdf{rm}
saved as
PDF
format
{p_end}

{com}.                                 
. gr close
{txt}
{com}. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/rpm47/Dropbox/0001 Academic Projects/Completed/0171 Parasecurity and Education/Replication/LOG Analysis University 2025 09 22.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}22 Sep 2025, 16:32:18
{txt}{.-}
{smcl}
{txt}{sf}{ul off}